Suchergebnisse - "VISUAL analytics"

Muvin: A Visual Analytics Tool for Exploring Dynamic Collaboration Networks from Knowledge Graphs.

Autoren: Menin, Aline Buono, Paolo Winckler, Marco

Quelle: International Journal of Human-Computer Interaction. Nov2025, p1-25. 25p. 9 Illustrations.

Schlagwörter: *SCALABILITY, AUTHORSHIP collaboration, VISUAL analytics, USER-centered system design, KNOWLEDGE graphs, VISUALIZATION, COMMUNICATION network analysis, LINKED data (Semantic Web)

ColorPCA: Scalable Colored Dimensionality Reduction for Unlabeled High-Dimensional Data

Autoren: Cui, Wenqiang Afzal, Shehzad Martins, Rafael Messias, Dr. et al.

Quelle: IEEE Access. 13:98037-98054

Schlagwörter: image color analysis, principal component analysis, data visualization, high dimensional data, dimensionality reduction, visual analytics, meteorology, geology, gaussian distribution, encoding, high-dimensional data, color mapping, color contrast enhancement, unlabeled data, climate visualization

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-140802
https://doi.org/10.1109/access.2025.3575955

Visually Guided Extraction of Prevalent Topics

Autoren: Witschard, Daniel Jusufi, Ilir Kucher, Kostiantyn, Dr. et al.

Quelle: eLLIIT – The Linköping – Lund Initiative on IT and Mobile Communication Information Visualization. 42(2):179-198

Schlagwörter: Visual Analytics, Text Mining, Text Embedding, Topic Modelling, Similarity Calculations, Informations- och programvisualisering, Information and software visualization

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-136101
https://doi.org/10.1177/14738716241312400

Revealing Interaction Dynamics: Multi-Level Visual Exploration of User Strategies with an Interactive Digital Environment

Autoren: Yu, Peilin Nordman, Aida, Associate Professor Koc-Januchta, Marta, Ph.D. et al.

Quelle: IEEE Transactions on Visualization and Computer Graphics. 31(1):831-841

Schlagwörter: Visual analytics, Visualization systems and tools, Interaction logs, Visualization techniques, Visual learning

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-209035
https://liu.diva-portal.org/smash/get/diva2:1910085/FULLTEXT01.pdf

From analysis to findings: How do process mining analysts discover results?

Autoren: Zerbato, Francesca Zimmermann, Lisa Vrotsou, Katerina et al.

Quelle: Information Systems. 135

Schlagwörter: Process mining, User interactions, Visual analytics, Process mining results, User behavior

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-217144
https://doi.org/10.1016/j.is.2025.102596

MARV: Multiview Augmented Reality Visualisation for Exploring Rich Material Data.

Autoren: Gall, Alexander Heim, Anja Gröller, Eduard et al.

Quelle: Computer Graphics Forum. Sep2025, Vol. 44 Issue 6, p1-15. 15p.

Schlagwörter: AUGMENTED reality, VISUAL analytics, IMMERSIVE design, TEMPORAL databases, DATA visualization, METADATA, VISUALIZATION

ComVis: a four-level prompt model for overlapping community detection with graph visualization.

Autoren: Guo, Xuan Li, Bohao Bi, Huanyu et al.

Quelle: Visual Computer. Nov2025, Vol. 41 Issue 14, p12071-12089. 19p.

Schlagwörter: *VISUALIZATION, *VISUAL analytics, *USER-centered system design, *DATA visualization, *SOCIAL groups, *LANGUAGE models

TraVIS: A User Trace Analyzer to Support User-Centered Design of Visual Analytics Solutions

Autoren: Matteo Filosa Alexandra Plexousaki Matteo Di Stadio et al.

Quelle: IEEE Transactions on Visualization and Computer Graphics. 31:7614-7631

Schlagwörter: Interaction logs, user traces, user-centered design, visual analytics

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40095820

Unveiling legal complexity: a systematic review on the visual analytics of legal corpora.

Autoren: Mentzingen, Hugo António, Nuno Bacao, Fernando

Quelle: International Review of Law, Computers & Technology. May2025, p1-36. 36p. 15 Illustrations.

Schlagwörter: *NATURAL language processing, VISUAL analytics, DATA visualization, LEGAL documents, JURISPRUDENCE, MACHINE learning, INTERDISCIPLINARY research

Nodes, Edges, and Artistic Wedges: A Survey on Network Visualization in Art History.

Autoren: Tuscher, Michaela Filipov, Velitchko Kamencek, Teresa et al.

Quelle: Computer Graphics Forum. Jun2025, Vol. 44 Issue 3, p1-33. 33p.

Schlagwörter: *QUANTITATIVE research, ART history, VISUAL analytics, GRAPH theory, SOCIAL interaction, ARTISTIC influence, ARTISTIC creation

LayerFlow: Layer‐wise Exploration of LLM Embeddings using Uncertainty‐aware Interlinked Projections.

Autoren: Sevastjanova, Rita Gerling, Robin Spinner, Thilo et al.

Quelle: Computer Graphics Forum. Jun2025, Vol. 44 Issue 3, p1-12. 12p.

Schlagwörter: *UNCERTAINTY (Information theory), *CLUSTER analysis (Statistics), VISUAL analytics, LANGUAGE models, DIMENSIONAL reduction algorithms, DATA mapping, TEXT mining

InterChat: Enhancing Generative Visual Analytics using Multimodal Interactions.

Autoren: Chen, Juntong Wu, Jiang Guo, Jiajing et al.

Quelle: Computer Graphics Forum. Jun2025, Vol. 44 Issue 3, p1-12. 12p.

Schlagwörter: *QUANTITATIVE research, VISUAL analytics, MULTIMODAL user interfaces, LANGUAGE models, DATA visualization, INTERACTION design (Human-computer interaction), INFORMATION needs, USER-centered system design

Coupling Guidance and Progressiveness in Visual Analytics.

Autoren: Pérez‐Messina, I. Angelini, M. Ceneda, D. et al.

Quelle: Computer Graphics Forum. Jun2025, Vol. 44 Issue 3, p1-12. 12p.

Schlagwörter: *EMPIRICAL research, VISUAL analytics, CONCEPTUAL models, USER experience, COMPUTATIONAL complexity

A Process‐Oriented Approach to Analyze Analysts' Use of Visualizations: Revealing Insights into the What, When, and How.

Autoren: Zimmermann, L. Zerbato, F. Vrotsou, K. et al.

Quelle: Computer Graphics Forum. Jun2025, Vol. 44 Issue 3, p1-12. 12p.

Schlagwörter: *PROCESS mining, *QUALITATIVE research, *SECURITIES analysts, *DATA analysis, VISUAL analytics, EVALUATION methodology, VISUALIZATION

Mapping Mental Models of Uncertainty to Parallel Coordinates by Probabilistic Brushing.

Autoren: Borrelli, Gabriel Ittermann, Till Linsen, Lars

Quelle: Computer Graphics Forum. Jun2025, Vol. 44 Issue 3, p1-12. 12p.

Schlagwörter: *UNCERTAINTY (Information theory), *DATA analysis, *EMPIRICAL research, VISUAL analytics, CONCEPTUAL models, DATA visualization

Visually Assessing 1‐D Orderings of Contiguous Spatial Polygons.

Autoren: Rauscher, Julius Dennig, Frederik L. Schlegel, Udo et al.

Quelle: Computer Graphics Forum. Jun2025, Vol. 44 Issue 3, p1-12. 12p.

Schlagwörter: POLYGONS, VISUAL analytics, TOPOLOGICAL property, LINEAR orderings, DATA visualization, EVALUATORS

A Wizard of Oz Study of Guidance Strategies and Dynamics

Autoren: Fabian Sperrle Mennatallah El-Assady Alessio Arleo et al.

Quelle: IEEE Transactions on Visualization and Computer Graphics. 31:4968-4982

Schlagwörter: Data visualization, wizard of oz, Task analysis, Visual analytics, Guidance, Training, Wizard of Oz (WOz), visual analytics, Adaptive systems, Robots, Navigation, guidance

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38976475
https://research.tue.nl/en/publications/71103766-bb4d-4e2f-bde0-da0b8906f889
https://doi.org/10.1109/TVCG.2024.3418782

Guidance for Interactive Visual Analysis in Multivariate Time Series Preprocessing.

Autoren: Valdivia, Flor de Luz Palomino Baca, Herwin Alayn Huillcen

Quelle: Sensors (14248220). Sep2025, Vol. 25 Issue 18, p5617. 40p.

Schlagwörter: *VISUAL analytics, *TIME series analysis, *COGNITIVE load, *DATA scrubbing, *AIR quality monitoring, *RECOMMENDER systems, *WORKFLOW management

From Detection to Decision: Transforming Cybersecurity with Deep Learning and Visual Analytics.

Autoren: Chavan, Saurabh Pappas, George

Quelle: AI. Sep2025, Vol. 6 Issue 9, p214. 26p.

Schlagwörter: *DEEP learning, *VISUAL analytics, *INTERNET security, *RISK assessment, *GRAPH neural networks, *ARTIFICIAL intelligence, *TRANSFORMER models

Interactive Groupwise Comparison for Reinforcement Learning from Human Feedback

Autoren: Kompatscher, Jan Shi, Danqing Varni, Giovanna et al.

Quelle: Computer graphics forum (Print).

Schlagwörter: human–computer interfaces, visualisation, interaction, visual analytics

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-373511
https://doi.org/10.1111/cgf.70290