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DTSTART;VALUE=DATE:20250805
DTEND;VALUE=DATE:20250809
DTSTAMP:20260408T223358
CREATED:20250313T115634Z
LAST-MODIFIED:20250414T123101Z
UID:13332-1754352000-1754697599@vis.h-da.de
SUMMARY:IV2025 and AI&VIS25 Conferences
DESCRIPTION:IV2025 – 29th International Conference Information Visualisation and  AI&VIS25 – 6th International Conference on Artificial Intelligence and Visualization \nThe IV2025 and AI&VIS25 conferences provide a vibrant international forum for researchers\, practitioners\, and thought leaders to exchange the latest advances\, innovations\, and practical\nchallenges in the domains of information visualization\, visual analytics\, and AI-powered visual computing. For nearly three decades\, the IV conference has been a cornerstone event in the visualization community\, promoting interdisciplinary dialogue and showcasing cutting-edge research. In its 6th edition\, AI&VIS25 focuses on the intersection of AI\, visualization\, and immersive analytics across a wide range of application domains. All accepted papers will be peer-reviewed and published by IEEE in the IEEE Xplore Digital Library and will be submitted for indexing to leading indexing services\, including Scopus\, Web of Science\, and DBLP. Selected contributions will be invited for publication in special issues of the Information Visualisation Journal or an edited volume. \nConference Dates: 5th to 8th August 2025 \nLocation: Darmstadt University of Applied Sciences\, Germany \nhttps://www.graphicslink.co.uk/IV2025/index.htm \n  \nTheme and scope are planned as a series of symposia with details\, and further information is available at IV2025: https://iv.csites.fct.unl.pt/de/symposia/iv/va/ \nSubmission Portal: https://www.conftool.org/IV-cgiv-2025/ \nPublication: https://iv.csites.fct.unl.pt/de/call-for-papers/publication/ \nImportant Dates – https://iv.csites.fct.unl.pt/de/call-for-papers/important-dates/ \n  \nConference Themes \nWe invite high-quality contributions on (but not limited to) the following themes: \n\nIV2025 – Information Visualisation Themes \n\nTheories and Models in Information Visualization\nHuman-Centred Design and Interaction\nKnowledge Visualization and Visual Thinking\nVisual Storytelling and Design for Insight\nCognitive and Perceptual Aspects of Visualization\nSustainable and Environmental Visualization\n\n  \nAI&VIS25 – AI & Visualisation Themes \n\nExplainable and Trustworthy AI in Visualization\nVisual Analytics for Data Science\nAI-Powered Knowledge Discovery and Pattern Recognition\nMultimodal and Cross-Modal Visualisation\nImmersive Visualisation: AR\, VR\, and MR\nHuman-AI Collaboration for Decision Support\n\nInterdisciplinary and visionary submissions are strongly encouraged. \n  \nSpecial Tracks and Workshops \n\nResearchers Link Forum\nA dedicated forum to promote research aligned with the UN Sustainable Development Goals through AI and Visualization. Participants can present early-stage ideas\, receive feedback from mentors\, and identify future collaborators. This format is ideal for sparking new international research alliances. \nPhD Workshop\nDoctoral candidates are invited to present their dissertation research\, challenges\, and preliminary findings. The workshop offers mentoring\, peer feedback\, and visibility in the research community. Presentation slots are limited; early submission is recommended. \nTutorials and Panels\nThe conference will host expert-led tutorials and thematic panel discussions on emerging trends and grand challenges in AI and Visualisation. \nSubmission Guidelines\nWe welcome: \n\nFull Papers (6 pages\, IEEE format)\nShort Papers (4 pages\, IEEE format)\nPosters (up to 4-page extended abstract + poster\, IEEE format)\n\nAll submissions must follow the IEEE conference format and be uploaded via the submission portal. \nImportant Dates \n\n15 May 2025 – Submission Deadline (Papers\, Posters\, Tutorials)\n15 June 2025 – Notifications & Camera-Ready Submissions Due\n30 June 2025 – Poster Display Version\, Doctoral Abstract\, Researchers Link Proposal Due\n20 July 2025 – Final Registration Closes\n5-8 August 2025 – Researcher Link\n5 August 2025 – Tutorials & Doctoral Workshop Day\n6–8 August 2025 – Main Conference Days\n\nPreconference course:     Doctoral Research Workshop \nResearcher Link Forum:   Research Project Collaboration \nFocus Group Publication: Post-conference publication \nConference Format\nIV2025 and AI&VIS25 will be held in a part-hybrid format\, with a focus on in-person participation in Darmstadt. Virtual attendance will be supported to ensure global accessibility. The event features: \n\nKeynote Lectures by Renowned Experts\nPeer-Reviewed Paper Presentations\nThematic Panels & Tutorials\nPhD Workshop and Researchers Link Forum\nSocial and Networking Events\n\nParticipation & Discounts \n\nEUt+ Members can participate free of charge and receive a 30% discount on publication\nfees.\nIEEE Members receive a 15% discount on both registration and publication fees.\nFurther details will be available on the conference website.\n\nHonorary Chair\nProf. Dr. Arnd Steinmetz (President\, Darmstadt University of Applied Sciences – European\nUniversity of Technolgy EUt+) \nGeneral Co-Chairs: \n\nEbad Banissi (Em Prof. Dr.)\, London South Bank University (LSBU)\, UK\nKawa Nazemi (Prof. Dr.)\, Darmstadt University of Applied Sciences\, DE – European University of Technolgy (EUt+) – hessian.AI
URL:https://vis.h-da.de/events/international-conference-information-visualisation-iv2025
LOCATION:Darmstadt University of Applied Sciences\, Schöfferstraße\, Darmstadt\, Hesse\, 64295\, Germany
ATTACH;FMTTYPE=image/png:https://vis.h-da.de/wp-content/uploads/2025/03/iv-landing-page-e1744624832160.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240830
DTEND;VALUE=DATE:20250116
DTSTAMP:20260408T223358
CREATED:20231103T204642Z
LAST-MODIFIED:20240626T152648Z
UID:12408-1724976000-1736985599@vis.h-da.de
SUMMARY:Call for Papers: Electronics - Special Issue - "Unlocking Data’s Potential: Artificial Intelligence and Visual Analytics in the Modern Age"
DESCRIPTION:In the rapidly evolving fields of artificial intelligence (AI) and visual analytics\, there is growing recognition of their combined potential to reshape diverse sectors\, emerging as a crucial pathway for progressing research and practical applications. The synergy between AI-driven techniques—such as natural language processing\, image and video processing\, and data analytics—and visual analytics methodologies augments our ability to decipher complex data structures. Such interdisciplinary approaches reveal subtle data patterns\, enhancing decision-making processes and establishing more effective predictive mechanisms essential for addressing societal and economic challenges and progress. \nThis Special Issue endeavors to delve deep into the interplay between AI and visual analytics\, seeking contributions highlighting novel methodologies\, computational strategies\, systematic reviews\, and system architectures of real-world applications. Our goal is to foster an interdisciplinary exchange of ideas\, extending to areas including analytical decision-making\, corporate strategy evolution\, AI-driven collaborative frameworks\, healthcare analytics\, sustainability metrics\, and innovative techniques for behavior and trend detection. \nIn the current era\, where data stand as the backbone of contemporary challenges and opportunities\, this Special Issue serves as a platform for researchers and professionals to showcase pioneering work\, laying the foundation for breakthroughs that cater to the multifaceted challenges of our society. By combining AI and visual analytics\, we are able to unlock unprecedented insights from data\, driving our global community toward a more resilient and prosperous future. \nTopics of interest include\, but are not limited to\, the following: \n\nIntegrative visual analytics and artificial intelligence systems and approaches;\nAI and visual analytics to support decision-making;\nTechniques and methods in explainable AI;\nVisual analytic solutions for handling big data challenges;\nAI and visual analytics in strategic corporate planning;\nAI and visual analytics in healthcare;\nAI and visual analytics for social well-being and mental health;\nFacilitation of collaborative work through AI interventions;\nInsights into collaborative intelligence mechanisms;\nAI and visual analytics for sustainability and environmental analysis and management;\nAI and visual analytics for policy modeling and political decision support.\n\nProf. Dr. Kawa Nazemi\nProf. Dr. Nuno Datia\nProf. Dr. Rita Francese\nGuest Editors \n  \nManuscript Submission Information \n  \nManuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered\, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles\, review articles as well as short communications are invited. For planned papers\, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. \nSubmitted manuscripts should not have been published previously\, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI. \nPlease visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI’s English editing service prior to publication or during author revisions. \n  \n\nKeywords\n\n\nartificial intelligence (AI)\nvisual analytics\nnatural language processing\nexplainable AI\nbig data analytics\ndata interpretation
URL:https://vis.h-da.de/events/call-for-papers-artificial-intelligence-and-visual-analytics-in-the-modern-age
CATEGORIES:Journal,Research
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240723
DTEND;VALUE=DATE:20240727
DTSTAMP:20260408T223358
CREATED:20240409T100107Z
LAST-MODIFIED:20240411T090114Z
UID:13107-1721692800-1722038399@vis.h-da.de
SUMMARY:International Conference Information Visualisation (IV2024)
DESCRIPTION:IV2024 – 28th International Conference Information Visualisation \n23-26 July 2024 \n Coimbra University ● Portugal \nhttps://www.graphicslink.co.uk/IV2024/index.htm \n  \nCall for Papers\, Poster\, Videos\, and Participation \n  \nTheme and scope are planned as a series of symposia with details\, and further information is available at IV2024: https://iv.csites.fct.unl.pt/fi/symposia/ \nSubmission Porta: https://www.conftool.org/IV-cgiv-2024/ \nPublication:  https://iv.csites.fct.unl.pt/fi/call-for-papers/publication/ \n  \nVisual Analytics is the science of analytical reasoning empowered by interactive visualizations. The research on Visual Analytics is closely related to that of Data Science. Both areas seek to enhance knowledge discovery using machine learning\, data mining\, and artificial intelligence methods. In contrast\, Visual Analytics commonly allows direct manipulation of the underlying models through graphical representations. By leveraging human perception of the visual space\, patterns that might not otherwise be discovered emerge. Visual Analytics utilizes concepts from various disciplines\, including computer graphics\, information visualization\, machine learning\, artificial intelligence\, knowledge discovery\, cognition\, and visual perception. \nThe topics of interest include but are not limited to: \n\nCombining visual and computational methods of Data Analysis\, Machine Learning\, and Artificial Intelligence\nVisual Analytics models and approaches\nNovel Visual Analytics applications\nVisual Trend Analytics\nVisual Analytics\, geo-visualization\, and geographical visualization of spatial\, temporal\, and Spatio-temporal data\nVisualization support for multi-criteria decision analysis related to multivariate and spatial data\nKnowledge construction and management in Visual Analytics\nGuidance in Visual Analytics\nIntelligent approaches of Visual Analytics and Data Science\nAdaptive Visual Analytics\n\nIntegrative visual analytics and artificial intelligence systems and approaches \n\n\nAI and visual analytics to support decision-making \n\n\nTechniques and methods in explainable AI \n\n\nVisual analytic solutions for handling big data challenges \n\nHCI issues of geographical and Spatio-temporal visual analytics\nCognitive approaches and explanations for Visual Analytics\nVisual Analytics for explaining AI\nVisualization of Data Mining algorithms\nEmpirical performance studies\nEvaluation of Visual Data Mining methods\nCollaborative Visual Analytics and Data Science\nComputational steering for long-running Data Mining applications\nReviews and surveys of related literature\n\n  \nPreconference course:     Doctoral Research Workshop \nResearcher Link Forum:   Research Project Collaboration \nFocus Group Publication: Post-conference publication \n  \n——————————————————————————- \nImportant Dates – https://iv.csites.fct.unl.pt/fi/call-for-papers/important-dates/ \nSubmission Portal: https://www.conftool.org/IV-cgiv-2024/ \n========= =================================== \nGeneral Co-Chairs:\nEbad Banissi (Em Prof. Dr)\, LSBU\, UK\nDr Evgheni Polisciuc\, Coimbra University\, Portugal \n\nSymposium General Co-Chairs:\nKawa Nazemi (Prof.)\, Darmstadt University of Applied Sciences\, Germany – Visual Analytics and Data Science\nBoris Kovalerchuk (Prof.)\, University of Central Washington\, USA – AI and Visual Knowledge Discovery\nUrska Cvek (Prof.)\, Louisiana State University\, USA – Visualization and Artificial Intelligence for Medicine\, Healthcare\nAnna Ursyn (Prof.)\, University of Northern Colorado\, USA – Digital Art and Gallery
URL:https://vis.h-da.de/events/international-conference-information-visualisation-iv2024
LOCATION:Private: Coimbra University\, 3004-531\, Coimbra\, Portugal
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231002T080000
DTEND;TZID=Europe/Berlin:20231123T235900
DTSTAMP:20260408T223358
CREATED:20231002T182212Z
LAST-MODIFIED:20231006T131259Z
UID:12253-1696233600-1700783940@vis.h-da.de
SUMMARY:We are hiring! Two open position with PhD oppurtunity.
DESCRIPTION:The research group “Human-Computer Interaction and Visual Analytics” (vis) at the Faculty of Media of the Darmstadt University of Applied Sciences announces two open positions commencing from 01.01.2024 for a period of 3 years. \nPosition Highlights: \n\nPursue a PhD at the esteemed Hessian Doctoral Center for Applied Computer Science.\nContribute to the critical European project “FARMWISE – Future Agricultural Resource Management and Water Innovations for a Sustainable Europe”\, (Horizon Europe – Research and Innovation Action).\nThe offered salary is competitive within the sector.\nEngage with a team of computer\, data\, and information scientists committed to advancing the state of knowledge and generating impactful solutions.\n\nQualifications: Candidates must have a Master’s degree in Computer Science or a related discipline and strong analytical and problem-solving skills. Interest in the intersection of artificial intelligence and visual analytics is essential. \nFor an in-depth overview of the roles and associated responsibilities\, please refer to the detailed job descriptions at the following links: \n\nPhD-position 100% (full-stack development) – Position description (German)\nPhD-position 75% (backend development) – (with an option to upgrade to 100%) – Position description (German)\n\nIf you’re seeking a role that blends rigorous computational research with pressing challenges in sustainability and AI\, we invite you to consider these positions. \nJoin us in advancing the field of AI for environmental resource management and water innovations for Europe. Create new solutions for AI-based decision-making systems and approaches on different levels. \nWe encourage you to review the position specifics and apply at your earliest convenience. \n 
URL:https://vis.h-da.de/events/we-are-hiring-two-open-position-with-phd-oppurtunity
LOCATION:Job\, Max-Planck-Str. 2\, Dieburg - Darmstadt\, Hesse\, 64807\, Germany
CATEGORIES:Doctoral Position,Projects,Research
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230913
DTEND;VALUE=DATE:20230914
DTSTAMP:20260408T223358
CREATED:20230214T202601Z
LAST-MODIFIED:20230214T203005Z
UID:10046-1694563200-1694649599@vis.h-da.de
SUMMARY:Call for Papers: 1st International Workshop on Disinformation and Toxic Content Analysis (DiTox 2023)
DESCRIPTION:Call for Papers: 1st International Workshop on Disinformation and Toxic Content Analysis (DiTox 2023)\, September 13th\, 2023 \nIn conjunction with the 4th biennial conference on Language\, Data and Knowledge (LDK 2023) to be held in Vienna\, Austria. \nThe spread of misinformation and disinformation not only affects people’s perceptions and beliefs\, but can also have a direct impact on democratic institutions\, critical infrastructure\, and lives and families. Most critically\, it raises the more fundamental issue of what sources of information can be trusted at all\, potentially calling into question our relationship of trust with traditional media. Because of these profoundly harmful effects\, disinformation is seen as one of the most pressing problems of our time. \nThe weak definition of the research task of disinformation analysis and detection\, as well as the enormous range in terms of the heterogeneity and multimodality of the data involved\, make this an exceptionally challenging field of research. The complexity ranges from media tampering detection to text content analysis to large-scale information fusion to analyze disinformation trends. Maintaining a comprehensive overview is equally difficult. \nRespectively\, the overall goal of this workshop is therefore to provide insights on how approaches from different domains can be used to address disinformation at a technical level including AI/ML-based methods\, visual analytics\, and visualization approaches as well as interdisciplinary approaches inspired by the social sciences (i.e.\, computational social science). To this end\, we invite task-specific contributions\, as well as large-scale integration approaches\, demo and project presentations\, to provide a comprehensive overview of the current state of the art in countering disinformation. \n  \nTopics: \nFull Paper Submissions: \n\nMachine and Deep learning methods for disinformation (e.g.\, analysis\, detection)\n Visual analytics and visualization approaches for disinformation\nAudio tampering detection\nSocial network analysis (e.g.\, key actors\, distribution patterns) including visualization approaches\nGraph algorithms for disinformation identification\nNatural language processing methods (e.g.\, content evaluation\, toxicity\, radicalization)\nAI-supported fact checking and detection of disinformation campaigns\nIdentification of fabricated and manipulated content (e.g.\, deep fakes\, audio\, generated text)\nCommunity detection and characterization in social networks (e.g.\, conspiracy theories\, echo chambers)\nBots characterization and detection\nMultimodal fake content detection\nRecommendation systems and disinformation\nAI uses\, practices and tools in fact-checking journalism\nQualitative and quantitative studies on disinformation\nEthics and law in disinformation\n\nDemo and Project Presentation (Short Paper Track\, Poster Presentation): \n\nDemo presentations (e.g.\, fact checking tools\, disinformation detection tools)\nProject platform presentations\nProject presentations\n\nImportant Dates: \n\nPaper submission: May 21st\, 2023\nNotification: June 20th\, 2023\nCamera-ready submission deadline: July 9th\, 2023\nDiTox workshop: September 13th\, 2023\n\nSubmission: \nSubmissions can be in the form of Long papers (9–12 pages) and Short papers (4-6 pages). All submission lengths are given including references. Accepted submissions will be published by ACL in an open-access conference proceedings volume\, free of charge for authors. The reviewing process is single-blind\, submissions should not be anonymised. The workshop will be hybrid (face-to-face and remote). At least one author of each accepted paper must register to present the paper at the workshop (either remotely or on-site). There will be no registration fee administered for participating in LDK 2023. Papers should be submitted via OpenReview at the following address: https://openreview.net/group?id=LDK/2023/Conference \n  \n\n\nOrganizing Committee\n\n\nAlexander Schindler\, Austrian Insititue of Technology GmbH \nMina Schütz\, Austrian Institute of Technology GmbH\, Darmstadt University of Applied Sciences \nMelanie Siegel\, Darmstadt University of Applied Sciences \nKawa Nazemi\, Darmstadt University of Applied Sciences \nMatthias Zeppelzauer\, St. Poelten University of Applied Sciences \nDjordje Slijepčević\, St. Poelten University of Applied Sciences \n\n\n\n\n\n\n\n\n\n\n\n\n\n  \n\n\n \n 
URL:https://vis.h-da.de/events/call-for-papers-ditox
CATEGORIES:Research
ATTACH;FMTTYPE=image/png:https://vis.h-da.de/wp-content/uploads/2023/02/ditox.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230725T080000
DTEND;TZID=Europe/Berlin:20230728T170000
DTSTAMP:20260408T223358
CREATED:20230507T102605Z
LAST-MODIFIED:20230507T102605Z
UID:10298-1690272000-1690563600@vis.h-da.de
SUMMARY:International Conference Information Visualisation (IV2023)
DESCRIPTION:IV2023 – 27th International Conference Information Visualisation \n25 – 28 July 2023 \nTampere University ● Tampere ● Finland ● \nhttps://www.graphicslink.co.uk/IV2023/index.htm \n  \nCall for Papers\, Poster\, Videos\, and Participation \n  \nTheme and scope are planned as a series of symposia with details\, and further information is available at IV2023: https://iv.csites.fct.unl.pt/fi/symposia/ \nSubmission Porta: https://www.conftool.org/IV-cgiv-2023/ \nPublication: https://iv.csites.fct.unl.pt/fi/call-for-papers/publication/ \n  \nIV2023 – Information visualization: \n\nInformation Visualisation Theory & Practice\nApplications of Information Visualization\nInformation Visualization Evaluation\nHuman-Computer Interaction for Information Visualization\nGraph Theory & Network Visualization\n\n  \nIV2023 – Knowledge Visualization \n\nKnowledge Visualization and Visual Thinking\nLearning Analytics\nMusic Visualization\nDigital Humanities Knowledge Visualisation\n\nIV2023 – AI/ML\, Visual Analytics\, and Visual Knowledge Discovery \n\n13 International Symposium Visual Analytics and Data Science\nAI and Visual Knowledge Discovery\nVisualization in Data Science and Machine Learning\nAdvances in Interactive and Visual Data Clustering\n\n  \nIV2023 – Visual Methods in Big Data\, social\, and business analytics \n\nBig data Visualization and Visual Analytics\nVisualisation in Business Intelligence and Open Data\nSocial Issues Analysis and Visualisation\n\n  \nvis2023– Visualization \n\n2nd  Symposium on AI-Empowered Visual Computing\nAugmented Reality Visualization and Art\nD-ART – Symposium of Digital Art and Gallery\nScientific Visualization\nVisualization\, Art\, & Design\nCAivDE – Computer Animation\, Information Visualisation\, and Digital Effects\nDigital Entertainment\nComputer Games and their applications\n\n  \nMediVis2023 \n\nVisualization and Artificial Intelligence for Medicine\, Healthcare\, and Social Good\n\n  \nBuiltViz2023 \n\nVisualisation in Built and Rural Environment\nResearcherLink in Sustaining Built Heritage\nVisualisation for the Heritage of Asia-Pacific Architecture and Urbanism\n\n  \nGMAI2023 \n\nGeometric Modelling and Imaging\n\n  \nPreconference course:     Doctoral Research Workshop \nResearcher Link Forum:   Research Project Collaboration \nFocus Group Publication: Post-conference publication \n  \n——————————————————————————- \nImportant Dates – https://iv.csites.fct.unl.pt/fi/call-for-papers/important-dates/ \nSubmission Portal: https://www.conftool.org/IV-cgiv-2023/ \n========= =================================== \nGeneral Co-Chairs:\nHarri Siirtola (Dr.)\, Tampere University\, Finland\nEbad Banissi (Em Prof.)\, LSBU\, UK \n\nSymposium General Co-Chairs:\nKawa Nazemi (Prof.)\, Darmstadt University of Applied Sciences\, Germany – Visual Analytics and Data Science\nBoris Kovalerchuk (Prof.)\, University of Central Washington\, USA – AI and Visual Knowledge Discovery\nUrska Cvek (Prof.)\, Louisiana State University \, USA – Visualization and Artificial Intelligence for Medicine\, Healthcare \nAnna Ursyn (Prof.)\, University of Northern Colorado\, USA – Digital Art and Gallery
URL:https://vis.h-da.de/events/international-conference-information-visualisation-iv2023
LOCATION:Tampere University\, Kalevantie 4\, Tampere\, 33100\, Finland
CATEGORIES:Conference,Event,Research
ATTACH;FMTTYPE=image/png:https://vis.h-da.de/wp-content/uploads/2023/05/IV2023.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230315
DTEND;VALUE=DATE:20230316
DTSTAMP:20260408T223358
CREATED:20220613T073627Z
LAST-MODIFIED:20220918T004616Z
UID:9613-1678838400-1678924799@vis.h-da.de
SUMMARY:Call for Papers - MDPI Electronics - Special Issue "Visual Analytics\, Simulation\, Decision Making Technologies"
DESCRIPTION:Please consider the revised submission date. \nWith the recent rise in cutting-edge technologies such as artificial intelligence\, new and unsolved societal economic challenges can be solved sophisticatedly. Disciplines such as visual analytics\, simulation\, data analytics\, natural language processing\, and image and video processing combined with the human in the interaction loop have led to new systems\, methods\, concepts\, and architectural designs that help us to face societal challenges\, e.g.\, climate\, mobility\, sustainability\, smart city. Furthermore\, these approaches lead to predicting likely future scenarios in the economy. These enhancements enable gathering the market relevance of upcoming technologies\, analyzing the competitors and other forthcoming competitive technologies\, and analyzing new markets for technologies. Thus\, the aspect of sustainability plays an increasing role\, even in market positioning or in the development and deployment of new technologies. \nIn this Special Issue\, we are interested in systems\, system architectures\, computational techniques\, methods and models\, and literature reviews in the areas of analytical decision making\, collaborative work\, sustainability\, economy\, simulation\, object monitoring\, and behaviour detection. \nFrom a methodological point of view\, the focus is on combining technological approaches from various disciplines to provide new ways and methods for analyzing data and models and enabling novel approaches for solving societal and economic challenges. On the practical side\, we are looking for algorithms\, software\, prototypes\, and demonstrators of decision-making support with the human-in-the-loop in various application fields. Topics of interest include but are not limited to the following: \n\nVisual analytics and information visualization\nArtificial intelligence and machine learning\nSimulation and modeling for digital twins\nCollaboration systems and collaborative work\nData analytics and natural language processing\nAnalytical systems for mobility\, transportation\, and traffic\nAnalytical systems for sustainability and environment\nAnalytical systems for corporate foresight\nAnalytical systems for smart manufacturing\nTechnologies for smart city\, virtual\, and augmented reality applications\nQuantum and high-performance computing use\nDigital wallet and blockchain synergy\nFault diagnosis in cyber-physical systems\nPredictive maintenance in Industry 4.0\nObject monitoring and behaviour detection\n\nProf. Dr. Kawa Nazemi\nProf. Dr. Egils Ginters\nDr. Michael Bažant\nGuest Editors \n  \nManuscript Submission Information \n  \nManuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered\, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles\, review articles as well as short communications are invited. For planned papers\, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. \nSubmitted manuscripts should not have been published previously\, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI. \nPlease visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI’s English editing service prior to publication or during author revisions.
URL:https://vis.h-da.de/events/call-for-papers-mdpi-electronics-special-issue-visual-analytics-simulation-decision-making-technologies
CATEGORIES:Research
ATTACH;FMTTYPE=image/png:https://vis.h-da.de/wp-content/uploads/2022/06/Visual_Decision_horizontal_dark.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20220719
DTEND;VALUE=DATE:20220723
DTSTAMP:20260408T223358
CREATED:20211115T220454Z
LAST-MODIFIED:20220316T033723Z
UID:8684-1658188800-1658534399@vis.h-da.de
SUMMARY:26th International Conference Information Visualization (iV 2022)
DESCRIPTION:We are co-organizing the International Symposium Visual Analytics and Data Science at the next International Information Visualisation Conference (iV 2022)\, which is held online. The Information Visualisation Conference (iV) is an international conference that aims to provide a foundation for integrating the human-centered\, technological and strategic aspects of information visualization to promote international exchange\, cooperation and development. The proceedings will be published as usual in IEEE Xplore. \nVisual Analytics is the science of analytical reasoning empowered by interactive visualizations. The research on Visual Analytics is closely related to that of Data Science. Both areas seek to enhance the knowledge discovery process using machine learning\, data mining\, and artificial intelligence methods. In contrast\, Visual Analytics allows direct manipulation of the underlying models through graphical representations commonly. By leveraging human perception of the visual space\, patterns that might not otherwise be discovered emerge. Visual Analytics utilizes concepts from various disciplines\, including computer graphics\, information visualization\, machine learning\, artificial intelligence\, knowledge discovery\, cognition\, and visual perception. \nPapers on all aspects of Visual Analytics and Data Science are solicited. Papers will be refereed and appear in the main conference proceedings published by Conference Publishing Services CPS – Conference Publishing Services\, – Library of Congress/ISSN\, ISBN\, and other bibliographical registration details; Arrange for indexing through INSPEC\, EI (Compendex)\, Thomson ISI\, and other indexing services. A selection of the best papers will be recommended for publication in special issues of scientific journals\, or as an edited book. \n  \nThe topics of interest include but are not limited to: \n\nCombining visual and computational methods of Data Analysis\, Machine Learning\, and Artificial Intelligence\nVisual Analytics models and approaches\nNovel Visual Analytics applications\nVisual Trend Analytics\nVisual Analytics\, geo-visualization and geographical visualization of spatial\, temporal\, and Spatio-temporal data\nVisualization support for multi-criteria decision analysis related to multivariate and spatial data\nKnowledge construction and management in Visual Analytics\nGuidance in Visual Analytics\nIntelligent approaches of Visual Analytics and Data Science\nAdaptive Visual Analytics\nHCI issues of geographical and Spatio-temporal visual analytics\nCognitive approaches and explanations for Visual Analytics\nVisual Analytics for explaining AI\nVisualization of Data Mining algorithms\nEmpirical performance studies\nEvaluation of Visual Data Mining methods\nCollaborative Visual Analytics and Data Science\nComputational steering for long-running Data Mining applications\nReviews and surveys of related literature\n\n\nRelated news for further information: \n[catlist tags=”iv2022″]
URL:https://vis.h-da.de/events/26th-international-conference-information-visualization-iv-2022
LOCATION:TU Wien\, Karlsplatz 13\, Vienna\, 1040\, Austria
CATEGORIES:Conference
ATTACH;FMTTYPE=image/png:https://vis.h-da.de/wp-content/uploads/2021/11/iV2021_banner.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220426T140000
DTEND;TZID=Europe/Berlin:20220426T153000
DTSTAMP:20260408T223358
CREATED:20220419T064154Z
LAST-MODIFIED:20220328T004506Z
UID:8784-1650981600-1650987000@vis.h-da.de
SUMMARY:Thesis Presentation: Process Mining for Workflow-Driven Assistance in Visual Trend Analytics
DESCRIPTION:Where: TU Darmstadt / GRIS\, Zoom: https://tu-darmstadt.zoom.us/j/86845586436?pwd=RUJiWm1QdWJ4VDg3MU93WUNOWWFTQT09\nWho: Shahrukh Badar (Author)\, Prof. Dr. Arjan Kuijper (Supervisor)\, Dipl.-Inf. Dirk Burkhardt (Advisor/Co-Supervisor)\nWhat: Master Thesis – “Process Mining for Workflow-Driven Assistance in Visual Trend Analytics” \nAbstract: \nIn today’s data-driven world\, a large amount of data is being generated daily. This data is generated by different sources\, such as social networking platforms\, industrial machinery\, daily transactions\, etc. The companies or businesses are not only generating data but also utilizing them to improve their processes\, business decisions\, etc. There are several applications and tools that help users to analyze this big data in-depth\, by providing numerous ways to explore it\, including different types of visualization\, pivoting\, filtering\, grouping data\, etc. The challenge with such applications is that it creates long and heavy learning curves for users\, who need to work with such applications. Many systems are often designed for a specific purpose\, and therewith to know how a single system works is not enough. To enable a better work entrance with such an analytical system\, a kind of adaptive assistance would be helpful. So\, the system would hint the users regarding his previous work and interaction\, what next action might be useful. The thesis aims to face this challenge with process-driven assistance that is applied to the visual trend analytics domain. The goal is\, based on previous users interactions and solved tasks\, to assist further users in their work. Therefore\, a universal visual assistance model is defined and acts also as the main contribution\, based on defined interaction event taxonomy. This concept is applied on the Visual Trend Analytics domain on the SciTic reference system\, This “SciTic – Visual Trend Analytics” is connected with different data sources and provides analysis of scientific documents. The interaction model provides assistance in terms of recommendations\, where the user has an option either to apply a recommendation or ignore it. The solution provided in this thesis is model-based and utilizes the potential of Process Mining and Discovery techniques. It is started by creating an event taxonomy by identifying all possible ways of user interactions on the “SciTic – Visual Trend Analytics” web application. Next\, enable the “SciTic – Visual Trend Analytics” web application to start logging events chronologically based on predefined taxonomy. Later\, these events log is converted into Process Mining log format. Next\, it applies the Process Discovery algorithm “Heuristics Miner” on these log data to generate a process model\, which shows the overall flow of user interaction along with the frequencies. Later\, this process model is used to provide users with recommendations.
URL:https://vis.h-da.de/events/thesis-presentation-process-mining-for-workflow-driven-assistance-in-visual-trend-analytics
LOCATION:TU Darmstadt / GRIS\, Fraunhoferstraße 5\, Darmstadt\, Hessian\, 64283\, Germany
CATEGORIES:Scitics,Thesis
ATTACH;FMTTYPE=image/png:https://vis.h-da.de/wp-content/uploads/2018/12/symbolic_teaching.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220328T140000
DTEND;TZID=Europe/Berlin:20220328T153000
DTSTAMP:20260408T223358
CREATED:20220328T003937Z
LAST-MODIFIED:20220328T003937Z
UID:9478-1648476000-1648481400@vis.h-da.de
SUMMARY:Thesis Presentation: Visual Analytics on Enterprise Reports for Investment and Strategical Analysis
DESCRIPTION:Where: TU Darmstadt / GRIS\, Zoom: https://tu-darmstadt.zoom.us/j/83620126004?pwd=a1hyUkprRWpMVXd3eEpNRTBVYk9tUT09\nWho: Sibgha Nazir (Author)\, Prof. Dr. Arjan Kuijper (Supervisor)\, Dipl.-Inf. Dirk Burkhardt (Advisor/Co-Supervisor)\nWhat: Master Thesis – “Visual Analytics on Enterprise Reports for Investment and Strategical Analysis” \nAbstract: \nGiven the availability of enormous data in today’s time\, suitable analysis techniques and graphical tools are required to derive knowledge in order to make this data useful. Scientists and developers have come up with visual analytical systems that combine machine learning technologies\, such as text mining with interactive data visualization\, to provide fresh insights into the present and future trends. Data visualization has progressed to become a cutting-edge method for displaying and interacting with graphics on a single screen. Using visualizations\, decision-makers may unearth insights in minutes\, and teams can spot trends and significant outliers in minutes [1]. A vast variety of automatic data analysis methods have been developed during the previous few decades. For investors\, researchers\, analysts\, and decision-makers\, these developments are significant in terms of innovation\, technology management\, and strategic decision-making. \nThe financial business is only one of many that will be influenced by the habits of the next generation\, and it must be on the lookout for new ideas. Using cutting-edge financial analytics tools will\, of course\, have a significant commercial impact. Visual analytics\, when added to the capabilities\, can deliver relevant and helpful insights. By collecting financial internal information from different organizations\, putting them in one place\, and incorporating visual analytics tools\, financial analytics software will address crucial business challenges with unprecedented speed\, precision\, and ease. \nThe goal of the thesis is to make use of visual analytics for the fundamental analysis of a business to support investors and business decision-makers. The idea is to collect the financial reports\, extract the data and feed them to this visual analytics system. Financial reports are PDF documents published by public companies annually and quarterly which are readily available on companies’ websites containing the values of all financial indicators which fully and vividly paint the picture of a companies’ business. The financial indicators in those reports make the basis of fundamental analysis. The thesis focuses on those manually collected reports from the companies’ websites and conceptualizes and implements a pipeline that gathers text and facts from the reports\, processes them\, and feeds them to a visual analytics dashboard. Furthermore\, the thesis uses state-of-the-art visualization tools and techniques to implement a visual analytics dashboard as the proof of concept and extends the visualization interface with interaction capability by giving them options to choose the parameter of their choice allowing the analyst to filter and view the available data. The dashboard fully integrates with the data transformation pipeline to consume the data that has been collected\, structured\, and processed and aims to display the financial indicators as well as allow the user to display them graphically. It also implements a user interface for manual data correction ensuring continuous data cleansing. \nThe presented application makes use of state-of-the-art financial analytics and information visualization techniques to enable visual trend analysis. The application is a great tool for investors and business analysts for gaining insights into a business and analyzing historical trends of its earnings and expenses and several other use-cases where financial reports of the business are a primary source of valuable information.
URL:https://vis.h-da.de/events/thesis-presentation-visual-analytics-on-enterprise-reports-for-investment-and-strategical-analysis
LOCATION:TU Darmstadt / GRIS\, Fraunhoferstraße 5\, Darmstadt\, Hessian\, 64283\, Germany
CATEGORIES:Scitics,Thesis
ATTACH;FMTTYPE=image/jpeg:https://vis.h-da.de/wp-content/uploads/2019/08/Teaching.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210909T090000
DTEND;TZID=Europe/Berlin:20210910T180000
DTSTAMP:20260408T223358
CREATED:20210412T151800Z
LAST-MODIFIED:20210907T113525Z
UID:8476-1631178000-1631296800@vis.h-da.de
SUMMARY:7th Collaborative European Research Conference (CERC 2021)
DESCRIPTION:We support the organization of the Collaborative European Research Conference (CERC 2021) in Cork\, Ireland. The multidisciplinary Collaborative European Research Conference is an annual event that takes place since 2011 when it was initiated by University partners across Europe. It brings together researchers from a wide range of disciplines in order to foster knowledge transfer\, inter-disciplinary exchange and collaboration. \nIn previous years\, contributions came from computer science\, biology\, bioinformatics\, business information systems\, marketing\, IT-security\, civil engineering\, education\, psychology\, multimedia\, art and others. Contributing authors came among other from Ireland\, Germany\, United Kingdom\, Norway\, France and USA. \nPlease note the Call for Papers (CfP). \n  \nRelated news for further information: \n[catlist tags=”cerc2021″]
URL:https://vis.h-da.de/events/7th-collaborative-european-research-conference-cerc-2021
LOCATION:Munster Technological University\, MTU - Cork Campus\, Bishopstown\, Cork\, T12 P928\, Ireland
CATEGORIES:Conference,Conference,Event,Teaching
ATTACH;FMTTYPE=image/png:https://vis.h-da.de/wp-content/uploads/2021/05/CERC2021_FeatureImage.png
ORGANIZER;CN="Munster Technological University":MAILTO:info@cit.ie
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210705
DTEND;VALUE=DATE:20210710
DTSTAMP:20260408T223358
CREATED:20210503T132709Z
LAST-MODIFIED:20211215T034100Z
UID:8509-1625443200-1625875199@vis.h-da.de
SUMMARY:Online @ 25th International Conference Information Visualization (iV 2021)
DESCRIPTION:We are co-organizing the International Symposium Visual Analytics and Data Science at the next International Information Visualisation Conference (iV 2021)\, which is held online. The Information Visualisation Conference (iV) is an international conference that aims to provide a foundation for integrating the human-centered\, technological and strategic aspects of information visualization to promote international exchange\, cooperation and development. The proceedings will be published as usual in IEEE Xplore. \nVisual Analytics is viewed as the science of analytical reasoning empowered by interactive visualizations. It combines interactive visualizations with models and approaches of machine learning and artificial intelligence\, enabling solving complex analytical tasks by uncovering hidden patterns in data.\nThe research on Visual Analytics is closely related to that of Data Science. Both areas seek to enhance the knowledge discovery process using machine learning\, data mining\, and artificial intelligence methods\, whereas Visual Analytics allows commonly a direct manipulation of the underlying models through graphical representations. By leveraging human perception of the visual space\, patterns that might not otherwise be discovered. Visual Analytics utilizes concepts from a wide variety of disciplines\, including Computer Graphics\, Information Visualization\, Machine Learning\, Artificial Intelligence\, Knowledge Discovery\, Cognition\, and Visual Perception.\nPapers on all aspects of Visual Analytics and Data Science are solicited. Papers will be refereed and appear in the main conference proceedings published by Conference Publishing Services CPS – Conference Publishing Services\, – Library of Congress/ISSN\, ISBN\, and other bibliographical registration details; Arrange for indexing through INSPEC\, EI (Compendex)\, Thomson ISI\, and other indexing services. \nA selection of the best papers will be recommended for publication in special issues of scientific journals\, or as an edited book. \nTopics of interest: \n\nCombining visual and computational methods of data analysis\nVisual querying\nVisual analytics of spatial\, temporal\, and spatiotemporal data\nKnowledge construction and management in visual analytics\nPrivacy issues in visual analytics\nCognitive approaches and explanations for visual data mining\nVisualization of the data mining algorithm\nScalability issues\nEmpirical studies of performance\nEvaluation of visual data mining methods\nCollaborative visualization and mining\nApplications of visual data mining and analytics\nCase studies\nComputational steering for long-running data mining applications\nReviews and surveys of related literature\n\n\nRelated news for further information: \n[catlist tags=”iv2021″]
URL:https://vis.h-da.de/events/online-25th-international-conference-information-visualization-iv-2021
LOCATION:University of Technology Sydney\, 15 Broadway\, Ultimo NSW\, Sydney\, 2007\, Australia
CATEGORIES:Conference
ATTACH;FMTTYPE=image/png:https://vis.h-da.de/wp-content/uploads/2021/05/2021-iV-conference.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210518T140000
DTEND;TZID=Europe/Berlin:20210518T180000
DTSTAMP:20260408T223358
CREATED:20200910T075338Z
LAST-MODIFIED:20211215T034115Z
UID:7834-1621346400-1621360800@vis.h-da.de
SUMMARY:Research Day 2021 at h_da
DESCRIPTION:The “Research Day” (German original title: “Tag der Forschung”) was first held back in 2002\, establishing a tradition\, where every year in November\, news about current research activities were shown and the time for networking and discussion is given. The annual Research Day has a special significance for the Darmstadt University of Applied Sciences. It is aimed at university members\, company representatives\, institutions in the region\, and the interested public. Exciting lectures and discussions on current research activities at the university and the awarding of the science prize are part of the program.
URL:https://vis.h-da.de/events/research-day-2021-at-h_da
LOCATION:h_da\, Darmstadt\, Germany\, Schöfferstraße 3\, Darmstadt\, 64295\, Germany
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://vis.h-da.de/wp-content/uploads/2019/09/Tag_der_Forschung.jpg
ORGANIZER;CN="h_da":MAILTO:info@h-da.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20201123T090000
DTEND;TZID=Europe/Berlin:20201125T180000
DTSTAMP:20260408T223358
CREATED:20201015T123840Z
LAST-MODIFIED:20220825T092722Z
UID:8196-1606122000-1606327200@vis.h-da.de
SUMMARY:International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020)
DESCRIPTION:Over the past few years\, the growing and intensive development of information technology in the manufacturing industry has led to a significant change in the methods and tools supporting the factories of the future. The hot topics around Industry 4.0 and smart manufacturing aim at the digital and organizational transformation of traditional factories and industrial systems as well as several other sectors. The International Conference on Industry 4.0 and Smart Manufacturing (ISM) provides the perfect setting and a unique opportunity for knowledge exchange\, the review and discussion of theoretical advances\, research results\, and industrial experiences\, among scientists\, researchers\, decision makers\, practitioners and students. \nAuthors are invited to submit a regular or short paper on the following topics. Nevertheless\, papers dealing with other Industry 4.0 and Smart Manufacturing topics are also welcome. \nThe conference is co-located with other three events. Visit the ISM website for more information. \n\na B2B brokerage event\, a unique opportunity to find potential partners and right contacts to build new cross-border international business and research partnerships;\nthe Win-Log 2020\, the International Workshop on Innovation for Logistics\, the scenario for scientists and practitioners to discuss current trends and challenges in the Logistics 4.0;\nthe WAMS 2020\, the International Workshop on Applied Modeling & Simulation\, which concentrates on applications of M&S in multiple sectors including industry\, logistics\, defence\, business and services.\n\n  \nRelated news for further information: \n[catlist tags=”ism2020″]
URL:https://vis.h-da.de/events/international-conference-on-industry-4-0-and-smart-manufacturing-ism-2020
LOCATION:University of Applied Sciences Upper Austria\, Hagenberg Campus\, Softwarepark 11\, Hagenberg im Mühlkreis\, 4232\, Austria
CATEGORIES:Conference,Conference,Event
ATTACH;FMTTYPE=image/png:https://vis.h-da.de/wp-content/uploads/2020/09/ISM.png
ORGANIZER;CN="CAL-TEK":MAILTO:info@cal-tek.eu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Riga:20201016T090000
DTEND;TZID=Europe/Riga:20201016T170000
DTSTAMP:20260408T223358
CREATED:20201009T064942Z
LAST-MODIFIED:20220825T092731Z
UID:8012-1602838800-1602867600@vis.h-da.de
SUMMARY:IEEE Information Technology and Management Science Conference
DESCRIPTION:The 61st INTERNATIONAL SCIENTIFIC CONFERENCE OF RIGA TECHNICAL UNIVERSITY: IEEE Section of Information Technology and Management Science (ITMS 2020) aims at bringing together young scientists and researchers from information technologies and management sciences in an effort to promote and encourage cross-fertilization of ideas and tools related but not limited to the general topics of the conference\, such as Information Technology\, Information Systems\, Computer Technologies\, Data Processing\, System Security and Control\, Modelling and Simulation\, Automatic Control\, E-Commerce and E-Governance\, Cloud Computing\, Human Computer Interaction\, Cyber-Physical Systems\, Intelligent Systems\, Internet of Everything. \nDue to the COVID-19 pandemic\, the conference will be hold online. \n  \nRelated news for further information: \n[catlist tags=”itms2020″]
URL:https://vis.h-da.de/events/ieee-information-technology-and-management-science-conference
LOCATION:TU Riga\, Kaļķu iela 1\, Rīga\, LV-1658\, Latvia
CATEGORIES:Conference,Conference
ATTACH;FMTTYPE=image/jpeg:https://vis.h-da.de/wp-content/uploads/2020/08/2020ITMS.png.jpg
ORGANIZER;CN="TU Riga":MAILTO:info@rtu.lv
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200910T090000
DTEND;TZID=Europe/Berlin:20200911T180000
DTSTAMP:20260408T223358
CREATED:20200427T174019Z
LAST-MODIFIED:20220825T092745Z
UID:7365-1599728400-1599847200@vis.h-da.de
SUMMARY:6th Collaborative European Research Conference (CERC 2020)
DESCRIPTION:We support the organization of the Collaborative European Research Conference (CERC 2020) in Belfast\, Northern-Ireland. The multidisciplinary Collaborative European Research Conference is an annual event that takes place since 2011 when it was initiated by University partners across Europe. It brings together researchers from a wide range of disciplines in order to foster knowledge transfer\, inter-disciplinary exchange and collaboration. \nIn previous years\, contributions came from computer science\, biology\, bioinformatics\, business information systems\, marketing\, IT-security\, civil engineering\, education\, psychology\, multimedia\, art and others. Contributing authors came among other from Ireland\, Germany\, United Kingdom\, Norway\, France and USA. \nPlease note the Call for Papers (CfP). \n  \nRelated news for further information: \n[catlist tags=”cerc2020″]
URL:https://vis.h-da.de/events/6th-collaborative-european-research-conference-cerc-2020
LOCATION:Ulster University\, York Street\, Belfast\, County Antrim\, BT15 1ED\, Belfast\, Northern Ireland\, BT15 1ED\, United Kingdom
CATEGORIES:Conference,Conference,Event,Teaching
ATTACH;FMTTYPE=image/png:https://vis.h-da.de/wp-content/uploads/2020/04/CERC2020_FeatureImage.png
ORGANIZER;CN="Ulster University":MAILTO:admissions@ulster.ac.uk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200909T160000
DTEND;TZID=Europe/Berlin:20200909T173000
DTSTAMP:20260408T223358
CREATED:20200801T051404Z
LAST-MODIFIED:20220825T092752Z
UID:7662-1599667200-1599672600@vis.h-da.de
SUMMARY:Major Cities of Europe Web Seminar toward Digital Ethics\, Humanism and Research - Laying the Foundation for Rethinking Cities
DESCRIPTION:We are glad to announce that we get the chance to present our intended action of a collaborative European research action in Europe at the upcoming web seminar “Digital Ethics\, Humanism and Research\, laying the foundation for Rethinking Cities” of the Major Cities of Europe. The title of our project proposal and contribution to the web seminar will be “Research action call for proposals: Visual Trend Analytics for the Society” and is planned in frames of a European research-action. \nUnder our coordination of our group and in collaboration with other associated organisations MCE is cooperating as responsible for dissemination to the submission of a proposal for a european research-action. The frame should be the European Network for Cooperation in Science and Technology. It provides networking opportunities for researchers and innovators to strengthen Europe’s capacity to address scientific\, technological\, and societal challenges. Our proposal will be focused on Analytical Reasoning by applying machine learning approaches\, artificial intelligence\, natural language processing and visualizations to allow to get deep insights into the different domains of various stakeholders and enable to solve complex tasks. The main outcome of the action for municipalities will be the identification of current challenges that require analytical reasoning and providing technological solutions for these by the research-action technological partners. The current institutions that are interested in this action are listed on: https://vis.h-da.de/network.html.
URL:https://vis.h-da.de/events/major-cities-of-europe-web-seminar-toward-digital-ethics-humanism-and-research-laying-the-foundation-for-rethinking-cities
LOCATION:Online / Virtual Conference
CATEGORIES:EuroStraNet,Event,VisCOST,Workshop,Workshop
ATTACH;FMTTYPE=image/png:https://vis.h-da.de/wp-content/uploads/2020/07/Event-COST_action.png
ORGANIZER;CN="Major Cities of Europe":MAILTO:info@majorcities.eu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200907T013000
DTEND;TZID=Europe/Berlin:20200911T141500
DTSTAMP:20260408T223358
CREATED:20200522T131431Z
LAST-MODIFIED:20220825T092759Z
UID:7405-1599442200-1599833700@vis.h-da.de
SUMMARY:Online @ 24rd International Conference Information Visualization (iV 2020)
DESCRIPTION:We are co-organizing the International Symposium Visual Analytics and Data Science at the next International Information Visualisation Conference (iV 2020) in Vienna\, Austria. The Information Visualisation Conference (iV) is an international conference that aims to provide a foundation for integrating the human-centered\, technological and strategic aspects of information visualization to promote international exchange\, cooperation and development. \nPlease note that the IV2020 will be held online and the submission deadline was extended. The processings will be published as usual in IEEE Xplore.  \nThe scope of the conference covers the following topics: \n\nCombining visual and computational methods of Data Analysis\, Machine Learning and Artificial Intelligence\nVisual Analytics models and approaches\nNovel Visual Analytics applications\nVisual Trend Analytics\nVisual Analytics of spatial\, temporal\, and spatio-temporal data\nKnowledge construction and management in Visual Analytics\nGuidance in Visual Analytics\nIntelligent approaches of Visual Analytics and Data Science\nAdaptive Visual Analytics\nCognitive approaches and explanations for Visual Analytics\nVisual Analytics for explaining AI\nVisualization of Data Mining algorithms\nEmpirical performance studies\nEvaluation of Visual Data Mining methods\nCollaborative Visual\n\n  \n[av_hr class=’invisible’ height=’40’ shadow=’no-shadow’ position=’center’ custom_border=’av-border-thin’ custom_width=’50px’ custom_border_color=” custom_margin_top=’30px’ custom_margin_bottom=’30px’ icon_select=’yes’ custom_icon_color=” icon=’ue808′ font=’entypo-fontello’ av_uid=” id=” custom_class=” admin_preview_bg=”] \nOur Group co-organizes the main symposium 12th International Symposium Visual Analytics and Data Science.\nVisual Analytics is viewed as the science of analytical reasoning empowered by interactive visualizations. It combines interactive visualizations with models and approaches of machine learning and artificial intelligence\, enabling solving complex analytical tasks by uncovering hidden patterns in data.\nThe research on Visual Analytics is closely related to that of Data Science. Both areas seek to enhance the knowledge discovery process using machine learning\, data mining and artificial intelligence methods\, whereas Visual Analytics allows commonly a direct manipulation of the underlying models through graphical representations. By leveraging human perception of the visual space\, patterns that might not otherwise be discovered. Visual Analytics utilizes concepts from a wide variety of disciplines\, including Computer Graphics\, Information Visualization\, Machine Learning\, Artificial Intelligence\, Knowledge Discovery\, Cognition and Visual Perception. \nThe scope of the VA track covers the following topics: \n\nCombining visual and computational methods of Data Analysis\, Machine Learning and Artificial Intelligence\nVisual Analytics models and approaches\nNovel Visual Analytics applications\nVisual Trend Analytics\nVisual Analytics of spatial\, temporal\, and spatio-temporal data\nKnowledge construction and management in Visual Analytics\nGuidance in Visual Analytics\nIntelligent approaches of Visual Analytics and Data Science\nAdaptive Visual Analytics\nCognitive approaches and explanations for Visual Analytics\nVisual Analytics for explaining AI\nVisualization of Data Mining algorithms\nEmpirical performance studies\nEvaluation of Visual Data Mining methods\nCollaborative Visual Analytics and Data Science\nComputational steering for long-running Data Mining applications\nReviews and surveys of related literature\n\n\nRelated news for further information: \n[catlist tags=”iv2020″]
URL:https://vis.h-da.de/events/24rd-international-conference-information-visualization-iv-2020-2
LOCATION:TU Wien\, Karlsplatz 13\, Vienna\, 1040\, Austria
CATEGORIES:Conference
ATTACH;FMTTYPE=image/jpeg:https://vis.h-da.de/wp-content/uploads/2020/05/IV2020_neu.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200317T160000
DTEND;TZID=Europe/Berlin:20200317T163000
DTSTAMP:20260408T223358
CREATED:20200313T131036Z
LAST-MODIFIED:20211215T033248Z
UID:6490-1584460800-1584462600@vis.h-da.de
SUMMARY:Thesis Presentation: Named-Entity Recognition on Publications and Raw-Text for Meticulous Insight at Visual Trend Analytics
DESCRIPTION:Where: TU Darmstadt / GRIS\, Fraunhoferstr. 5 (Darmstadt)\, Room tba \n!!!!! Due to the Corona crisis and the accompanying restrictions at the TU Darmstadt\, the exam will be non-public! !!!!! \nWho: Ubaid Rana (Author)\, Prof. Dr. Arjan Kuijper (Supervisor)\, Dipl.-Inf. Dirk Burkhardt (Advisor/Co-Supervisor)\nWhat: Master Thesis – “Named-Entity Recognition on Publications and Raw-Text for Meticulous Insight at Visual Trend Analytics” \nAbstract: \nIn the modern data-driven era\, a massive amount of research documents are available from publicly accessible digital libraries in the form of academic papers\, journals and publications. This plethora of data does not lead to new insights or knowledge. Therefore\, suitable analysis techniques and graphical tools are needed to derive knowledge in order to get insight of this big data. To address this issue\, researchers have developed visual analytical systems along with machine learning methods\, e.g text mining with interactive data visualization\, which leads to gain new insights of current and upcoming technology trends. These trends are significant for researchers\, business analysts\, and decision-makers for innovation\, technology management and to make strategic decisions.\nNearly every existing search portal uses the traditional meta-information e.g only about the author and title to find the documents that match a search request and overlook the opportunity of extracting content-related information. It limits the possibility of discovering most relevant publications\, moreover it lacks the knowledge required for trend analysis. To collect this very concrete information\, named entity recognition must be used to be able to better identify the results and trends. The state-of-the-art systems use static approach for named entity recognition which means that upcoming technologies remain undetected. Modern techniques like distant supervision methods leverage big existing community-maintained data sources\, such as Wikipedia\, to extract entities dynamically. Nonetheless\, these methods are still unstable and have never been tried on complex scenarios such as trend analysis before.\nThe aim of this thesis is to enable entity recognition on both static tables and dynamic community updated data sources like Wikipedia & DBpedia for trend analysis. To accomplish this goal\, a model is suggested which enabled entity extraction on DBpedia and translated the extracted entities into interactive visualizations. The analysts can use these visualizations to gain trend insights\, evaluate research trends or to analyze prevailing market moods and industry trends.
URL:https://vis.h-da.de/events/thesis-presentation-named-entity-recognition-on-publications-and-raw-text-for-meticulous-insight-at-visual-trend-analytics
LOCATION:TU Darmstadt / GRIS\, Fraunhoferstraße 5\, Darmstadt\, Hessian\, 64283\, Germany
CATEGORIES:Scitics,Thesis
ATTACH;FMTTYPE=image/png:https://vis.h-da.de/wp-content/uploads/2018/12/symbolic_teaching.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20191205T163000
DTEND;TZID=Europe/Berlin:20191205T210000
DTSTAMP:20260408T223358
CREATED:20191010T075450Z
LAST-MODIFIED:20220825T092814Z
UID:6034-1575563400-1575579600@vis.h-da.de
SUMMARY:21. Darmstadt Computer Graphics Evening
DESCRIPTION:The Darmstadt Computer Graphics Evening (Darmstädter Computer Graphik Abend – CGA) has been a fixed program item of the Fraunhofer IGD for more than two decades. As in the years before\, Fraunhofer IGD and its affiliated chairs will be honored with the most successful works\, most promising promotions and most innovative ideas from the past twelve months. \nIn addition\, the Computer Graphics Evening will provide the opportunity to gather information about trends in applied Visual Computing in a festive atmosphere and to network with representatives from research\, industry and politics.
URL:https://vis.h-da.de/events/21-darmstadt-computer-graphics-evening
LOCATION:Fraunhofer IGD\, Fraunhoferstraße 5\, Darmstadt\, Hesse\, 64283\, Germany
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://vis.h-da.de/wp-content/uploads/2019/09/2019cga.png
ORGANIZER;CN="Fraunhofer IGD":MAILTO:https://www.igd.fraunhofer.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20191126T140000
DTEND;TZID=Europe/Berlin:20191126T180000
DTSTAMP:20260408T223358
CREATED:20190916T214007Z
LAST-MODIFIED:20220825T092821Z
UID:5940-1574776800-1574791200@vis.h-da.de
SUMMARY:Research Day 2019 at h_da
DESCRIPTION:The “Research Day” (German original title: “Tag der Forschung”) was first held back in 2002\, establishing a tradition\, where every year in November\, news about current research activities were shown and the time for networking and discussion is given. The annual Research Day has a special significance for the Darmstadt University of Applied Sciences. It is aimed at university members\, company representatives\, institutions in the region and the interested public. Exciting lectures and discussions on current research activities at the university and the awarding of the science prize are part of the program. \nThis year’s Research Day is themed Digitalization and Sustainable Development.
URL:https://vis.h-da.de/events/research-day-2019-at-h_da
LOCATION:h_da\, B15\, Stephanstraße 7\, Darmstadt\, Darmstadt\, 64295
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://vis.h-da.de/wp-content/uploads/2019/09/Tag_der_Forschung.jpg
ORGANIZER;CN="h_da":MAILTO:info@h-da.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20191029T140000
DTEND;TZID=Europe/Berlin:20191029T183000
DTSTAMP:20260408T223358
CREATED:20191024T061208Z
LAST-MODIFIED:20220825T092828Z
UID:6339-1572357600-1572373800@vis.h-da.de
SUMMARY:Research Day 2019 of the Hessian Universities of Applied Sciences (HAW)
DESCRIPTION:On 29 October\, the focus will be on research at the HAWs in Hesse: within the framework of the Research Day 2019\, the research awards will be presented to HAW Hessen. \nTo the agenda: After the welcome by President Prof. dr. Frank E.P. Dievernich speaks to Secretary of State Ayse Asar (HMWK). Prof. Dr. Dr. h.c. Volker Mosbrugger (Senckenberg Society for Natural Research\, Polytechnic Society Frankfurt am Main) gives the keynote address on the topic “Science in transition – the new challenges”. Subsequently\, the festive award ceremony takes place.\nAfter the break\, scientists from the Frankfurt UAS present their research projects in the entertaining Pecha Kucha format. The event concludes with a panel discussion under the motto “Vision\, Success\, Appreciation – Applied Research Makes People Happy”.\nIn addition\, in the form of a poster exhibition “Research for the practice – 10 years of research campaign by HAW Hessen and HMWK” projects from ten years of research funding for the Hessian HAW are presented. \nWe were invited to join to event as an active research contributor. We are going to present our latest results the Hessian funded research project AVARTIM toward Advanced Visual Analytical Reasoning for Technology and Innovation Management (please also note our summary poster) .
URL:https://vis.h-da.de/events/research-day-2019-of-the-hessian-universities-of-applied-sciences-haw
LOCATION:Frankfurt UAS\, Nieblungenplatz 1\, Frankfurt am Main\, Hesse\, 60318\, Germany
CATEGORIES:AVARTIM,Event,Projects,Scitics
ATTACH;FMTTYPE=image/jpeg:https://vis.h-da.de/wp-content/uploads/2019/10/industry-industry4-web-network.jpg
ORGANIZER;CN="Frankfurt UAS":MAILTO:post@fra-uas.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20191007T090000
DTEND;TZID=Europe/Berlin:20191007T190000
DTSTAMP:20260408T223358
CREATED:20191007T084151Z
LAST-MODIFIED:20220825T092834Z
UID:6104-1570438800-1570474800@vis.h-da.de
SUMMARY:WissDok 2019
DESCRIPTION:WissDok is an annual event for scientific and media documentation of public media organizations. The event focuses on the pragmatic-current edge of technical\, organizational and scientific development in the documentation in its role as an incarnation of information science. The invited speakers deliver an annual update on the current development of various dimensions in this professional field in approximately 2-hour sessions. The event is part of the wissDok program and an offer to the specialist with opportunity for discussion. \nThe symposium at the Mediencampus is part of the wissDok program and an offer to the specialist public with opportunity for discussion. At the symposium our team will give a talk about Artificial Intelligence and Data Analytics.
URL:https://vis.h-da.de/events/wissdok-2019
LOCATION:h_da\, Dieburg\, Germany\, Max-Planck-Straße 2\, Dieburg\, Hesse\, 64807\, Germany
CATEGORIES:Symposium,Workshop
ATTACH;FMTTYPE=image/jpeg:https://vis.h-da.de/wp-content/uploads/2019/10/2019_WissDok-Program.jpg
ORGANIZER;CN="h_da":MAILTO:info@h-da.de
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20191007
DTEND;VALUE=DATE:20191010
DTSTAMP:20260408T223358
CREATED:20190826T085009Z
LAST-MODIFIED:20220825T092843Z
UID:5605-1570406400-1570665599@vis.h-da.de
SUMMARY:14th International Symposium on Visual Computing (ISVC 2019)
DESCRIPTION:We are attending the 14th International Symposium on Visual Computing (ISVC 2019) and presenting our accepted paper titled “A Visual Analytics Approach for Analyzing Technological Trends in Technology and Innovation Management”. \nMore information about our paper and the conference you will find in the news. The program is available on the conference website
URL:https://vis.h-da.de/events/14th-international-symposium-on-visual-computing-isvc-2019
LOCATION:Harrah’s Hotel & Casino\, 15 US-50\, Stateline\, Lake Tahoe\, NV\, 89449\, United States
CATEGORIES:Conference,Scitics
ATTACH;FMTTYPE=image/jpeg:https://vis.h-da.de/wp-content/uploads/2019/08/2019ISVC-conference.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20190918
DTEND;VALUE=DATE:20190921
DTSTAMP:20260408T223358
CREATED:20190624T180108Z
LAST-MODIFIED:20220825T092850Z
UID:4844-1568764800-1569023999@vis.h-da.de
SUMMARY:Virtual and Augmented Reality in Education (VARE 2019) Conference
DESCRIPTION:We are attending this year’s Virtual and Augmented Reality in Education conference (VARE 2019) and presenting our accepted paper titled “A Mobile Visual Analytics Approach for Instant Trend Analysis in Mobile Contexts”. \nMore information about our paper and the conference you will find in the news. Also note the conference program.
URL:https://vis.h-da.de/events/virtual-and-augmented-reality-in-education-vare-2019-conference
LOCATION:Altis Grand Hotel\, Rua Castilho 13A\, Lisbon\, 1269-072\, Portugal
CATEGORIES:Conference,Research
ATTACH;FMTTYPE=image/png:https://vis.h-da.de/wp-content/uploads/2019/08/i3m-VARE.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20190913
DTEND;VALUE=DATE:20190914
DTSTAMP:20260408T223358
CREATED:20190806T100518Z
LAST-MODIFIED:20220825T092937Z
UID:5262-1568332800-1568419199@vis.h-da.de
SUMMARY:OpenRheinMain Conference 2019
DESCRIPTION:OpenRheinMain (ORM 2019) is the 1st edition of an annual IT conference on open source and emerging digital technologies. This includes\, but is not limited to\, Open-Source\, Intelligent Automation and DevOps\, Cloud Computing\, and Internet of Things. \nThe purpose of the conference to interlink researchers and industrial partner of the Rhein Main region. Therefore\, the conference considers stakeholders from both in an appropriate proportion. \nAt the conference we will present our insights to “Visual Text Analytics for Technology and Innovation Management”.
URL:https://vis.h-da.de/events/openrheinmain-conference-2019
LOCATION:h_da\, Darmstadt\, Germany\, Schöfferstraße 3\, Darmstadt\, 64295\, Germany
CATEGORIES:Business,Conference,Conference,Research,Workshop
ATTACH;FMTTYPE=image/png:https://vis.h-da.de/wp-content/uploads/2019/08/2019_OpenRheinMainConference.png
ORGANIZER;CN="h_da - ORM":MAILTO:info@openrheinmain.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20190911T150000
DTEND;TZID=Europe/Berlin:20190911T180000
DTSTAMP:20260408T223358
CREATED:20190902T075237Z
LAST-MODIFIED:20220825T092944Z
UID:5925-1568214000-1568224800@vis.h-da.de
SUMMARY:Pre-Conference Workshop "Automated data analysis as a tool of TIE research"
DESCRIPTION:This year we get the opportunity to give a keynote speech at the pre-conference workshop on “Automated data analysis as a tool of TIE research” (original German title: “Automated Datenanalyse als Werkzeug der TIE Forschung”). The talk will be about “Visual Analytics for early technology detection”. \nThe TIE conference has always had a permanent place in the calendar of leading German and German-speaking scientists in the fields of technology and innovation management as well as entrepreneurship.
URL:https://vis.h-da.de/events/pre-conference-workshop-automated-data-analysis-as-a-tool-of-tie-research
LOCATION:HUB31\, Darmstadt\, Hilpertstraße 31\, Darmstadt\, Hesse\, 64295\, Germany
CATEGORIES:Scitics,Workshop,Workshop
ATTACH;FMTTYPE=image/png:https://vis.h-da.de/wp-content/uploads/2019/09/2019tie-conference.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20190826T153000
DTEND;TZID=Europe/Berlin:20190826T160000
DTSTAMP:20260408T223358
CREATED:20190816T013124Z
LAST-MODIFIED:20211215T033312Z
UID:5463-1566833400-1566835200@vis.h-da.de
SUMMARY:Thesis Presentation: Contrasted Data from Science and Web for Advanced Visual Trend Analytics
DESCRIPTION:Where: TU Darmstadt / GRIS\, Fraunhoferstr. 5\, Room 073\nWho: Rehman Ahmed Abdul (Author)\, Prof. Dr. Arjan Kuijper (Supervisor)\, Dipl.-Inf. Dirk Burkhardt (Advisor/Co-Supervisor)\nWhat: Master Thesis – “Contrasted Data from Science and Web for Advanced Visual Trend Analytics” \nAbstract: \nWith more publicly accessible digital libraries accessible\, a plethora of digital research data is now available for gaining insights into actual and upcoming technology trends. These trends are essential to researchers\, business analysts\, and decision-makers for making strategic decisions and setting strategic goals. Appropriate processing and graphical analysis methods are required in order to extract meaningful information from the data. In particular\, the combination of data mining approaches together with visual analytics leads to real beneficial applications to support decision making in e.g. innovation or technology management.\nThe data from digital libraries is only limited to research and overlooks the market aspects e.g if the trend is not important for key business players\, it is irrelevant for the market. This importance of market aspects creates a demand for validation approaches based on market data. Most of the current market data can be found publically on websites and social networks\, e.g. as news from enterprises or on tech review sites or on tech blogs. Therefore\, it makes sense to consider this public and social media data as contrasting data to the research digital library data that can be used to validate technology trends.\nThe goal of this thesis is to enable trend analysis on public and social web data and compare it with retrieved trends based on research library data to enable validation of trends. To achieve this goal a model is proposed that acquires public/social web and digital library data based on user-defined scope called a “campaign”\, which is then visually transformed from raw data into interactive visualizations passing through different stages of data management\, enrichment\, transformation\, and visual mapping. These interactive visualizations can either be used in insight analysis to gain trend insights for an individual data source or they can be used in comparative analysis with the goal of validating trends from two contrasting data sources.
URL:https://vis.h-da.de/events/thesis-presentation-contrasted-data-from-science-and-web-for-advanced-visual-trend-analytics
LOCATION:TU Darmstadt / GRIS\, Fraunhoferstraße 5\, Darmstadt\, Hessian\, 64283\, Germany
CATEGORIES:Scitics,Thesis
ATTACH;FMTTYPE=image/jpeg:https://vis.h-da.de/wp-content/uploads/2019/08/Teaching.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20190826T150000
DTEND;TZID=Europe/Berlin:20190826T153000
DTSTAMP:20260408T223358
CREATED:20190816T011146Z
LAST-MODIFIED:20211215T033334Z
UID:5454-1566831600-1566833400@vis.h-da.de
SUMMARY:Thesis Presentation: Visual Trend Analysis on Condensed Expert Data beside Research Library Data for Enhanced Insights
DESCRIPTION:Where: TU Darmstadt / GRIS\, Fraunhoferstr. 5\, Room 073\nWho: Muhammad Ali Riaz (Author)\, Prof. Dr. Arjan Kuijper (Supervisor)\, Dipl.-Inf. Dirk Burkhardt (Advisor/Co-Supervisor)\nWhat: Master Thesis – “Visual Trend Analysis on Condensed Expert Data beside Research Library Data for Enhanced Insights” \nAbstract: \nIn the present age of information\, we live amidst seas of digital text documents including academic publications\, white papers\, news articles\, patents\, newspapers. To tackle the issue of the ever-increasing amount of text documents\, researchers from the field of text mining and information visualization have developed tools and techniques to facilitate text analysis. In the context of visual trend analysis on text data\, the use of well-structured patent data and public digital libraries are quite established. However\, both sources of information have their limitations. For instance\, the registration process for patents takes at least one year\, which makes the extracted insights not suitable to research on present scenarios. In contrast to patent data\, the digital libraries are up-to-date but provide high-level insights\, only limited to broader research domains\, and the data usage is almost restricted on meta information\, such as title\, author names and abstract\, and they do not provide full text.\nFor a certain type of detailed analysis such as competitor analysis or portfolio analysis\, data from digital libraries is not enough\, it would also make sense to analyze the full-text. Even more\, it can be beneficial to analyze only a limited dataset that is filtered by an expert towards a very specific field\, such as additive printing or smart wearables for medical observations. Sometimes also a mixture of both digital library data and manually collected documents is relevant to be able to validate a certain trend\, where one gives a big picture and other gives a very condensed overview of the present scenario.\nThe thesis aims\, therefore\, to focus on such manually collected documents by experts that can be defined as condensed data. So\, the major goal of this thesis is to conceptualize and implement a solution that enables the creation and analysis of such a condensed data set and compensate therewith the limitations of digital library data analysis. As a result\, a visual trend analysis system for analyzing text documents is presented\, it utilizes the best of both state-of-the-art text analytics and information visualization techniques. In a nutshell\, the presented trend analysis system does two things. Firstly\, it is capable of extracting raw data from text documents in the form of unstructured text and meta-data\, convert it into structured and analyzable formats\, extract trends from it and present it with appropriate visualizations. Secondly\, the system is also capable of performing gap-analysis tasks between two data sources\, which in this case is digital library data and data from manually collected text documents (Condensed Expert Data). The proposed visual trend analysis system can be used by researchers for analyzing the research trends\, organizations to identify current market buzz and industry trends\, and many other use-cases where text data is the primary source of valuable information.
URL:https://vis.h-da.de/events/thesis-presentation-visual-trend-analysis-on-condensed-expert-data-beside-research-library-data-for-enhanced-insights
LOCATION:TU Darmstadt / GRIS\, Fraunhoferstraße 5\, Darmstadt\, Hessian\, 64283\, Germany
CATEGORIES:Scitics,Thesis
ATTACH;FMTTYPE=image/png:https://vis.h-da.de/wp-content/uploads/2018/12/symbolic_teaching.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20190702
DTEND;VALUE=DATE:20190706
DTSTAMP:20260408T223358
CREATED:20190624T184350Z
LAST-MODIFIED:20220825T092950Z
UID:4859-1562025600-1562371199@vis.h-da.de
SUMMARY:23rd International Conference Information Visualization (iV 2019)
DESCRIPTION:We are attending this year’s International Information Visualisation Conference (iV 2019) and presenting our accepted paper titled “Visual Analytics for Analyzing Technological Trends from Text”. \nMore information about our paper and the conference you will find in the news.
URL:https://vis.h-da.de/events/23rd-international-conference-information-visualization-iv-2019
LOCATION:Paris\, 20\, avenue George Sand\, La Plaine Saint-Denis\, 93210\, France
CATEGORIES:Conference
ATTACH;FMTTYPE=image/jpeg:https://vis.h-da.de/wp-content/uploads/2019/05/20190702_iV_Paris.jpg
END:VEVENT
END:VCALENDAR