Suchergebnisse - "Information Visualization and Visual Data Mining"

MAT-CA: a tool for Multiple Aspect Trajectory Clustering Analysis

Autoren: Santos, Yuri Giuliani, Ricardo Portela, Tarlis et al.

Quelle: EMODE '23: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging issues and Ethical perspectives, pp. 40–43, Hamburg, Germany, 13/11/2023
info:cnr-pdr/source/autori:Santos Y.; Giuliani R.; Portela T.; Renso C.; Carvalho J./congresso_nome:EMODE '23: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging issues and Ethical perspectives/congresso_luogo:Hamburg, Germany/congresso_data:13%2F11%2F2023/anno:2023/pagina_da:40/pagina_a:43/intervallo_pagine:40–43
EMODE '23: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging issues and Ethical perspectives 2023
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging issues and Ethical perspectives 2023

Schlagwörter: FOS: Computer and information sciences, Artificial intelligence, Semantic Trajectories, Astronomy, Trajectory Data Mining and Analysis, Trajectory, Multiple aspects trajectories, Clustering, Hierarchical clustering, Systems engineering, Clustering Algorithms, Task (project management), Cluster analysis, Engineering, Information Visualization, Data Mining Techniques and Applications, 11. Sustainability, FOS: Mathematics, Data mining, Visualization, Curse of dimensionality, Spatial Analysis, Data visualization, Physics, 4. Education, Pure mathematics, 15. Life on land, Computer science, Semantic trajectories, Dimension (graph theory), Information Visualization and Visual Data Mining, Trajectory Data Mining, Signal Processing, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition, Mathematics, Information Systems

Dateibeschreibung: application/pdf

DataDive: Supporting Readers' Contextualization of Statistical Statements with Data Exploration

Autoren: Hyunwoo Kim Khanh Duy Le Gionnieve Lim et al.

Quelle: Proceedings of the 29th International Conference on Intelligent User Interfaces. :623-639

Schlagwörter: Statistics and Probability, Interpretation (philosophy), Contextualization, Artificial intelligence, Statistical Literacy and Reasoning in Education, Data exploration, Natural language processing, 16. Peace & justice, Computer science, Data science, Programming language, 3. Good health, Information Visualization and Visual Data Mining, Artificial Intelligence, Physical Sciences, Computer Science, FOS: Mathematics, Statistical Computing and Data Analysis in R, Computer Vision and Pattern Recognition, 10. No inequality, Mathematics, Visualization

Compact groups of dwarf galaxies in TNG50: late hierarchical assembly and delayed stellar build-up in the low-mass regime

Autoren: Rodrigo Flores-Freitas Marina Trevisan Maitê Mückler et al.

Weitere Verfasser: Rodrigo Flores-Freitas Marina Trevisan Maitê Mückler et al.

Quelle: Monthly Notices of the Royal Astronomical Society. 528:5804-5824

Schlagwörter: Dwarf galaxy problem, Stellar Populations, Interacting galaxy, Galaxy Formation and Evolution in the Universe, Physics, Astronomy, Star formation, Astronomy and Astrophysics, galaxies: dwarf, Astrophysics, Astrophysics - Astrophysics of Galaxies, [SDU] Sciences of the Universe [physics], Galaxy, Physics and Astronomy, Information Visualization and Visual Data Mining, galaxies: groups: general, Astronomical Instrumentation and Spectroscopy, Physical Sciences, Computer Science, Stellar mass, galaxies: interactions, Computer Vision and Pattern Recognition, galaxies: evolution, Instrumentation, Dwarf galaxy

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2401.13252
https://insu.hal.science/insu-04851577v1/document
https://doi.org/10.1093/mnras/stae367
https://insu.hal.science/insu-04851577v1

Structure and large-scale environment of galaxy pairs in the S-PLUS DR4

Autoren: M C Cerdosino Ana Laura O'Mill Facundo Rodríguez et al.

Quelle: Monthly Notices of the Royal Astronomical Society. 528:4993-5007

Schlagwörter: Astronomy, GALAXIES: STATISTICS, Biophysics, Astrophysics, Luminosity, GALAXIES: GENERAL, Fluorescence Microscopy Techniques, Biochemistry, Genetics and Molecular Biology, Stellar mass, Galaxy formation and evolution, Spatial Analysis, Galaxy Formation and Evolution in the Universe, Physics, Star formation, Luminosity function, Life Sciences, Astronomy and Astrophysics, Astrophysics - Astrophysics of Galaxies, Galaxy, Physics and Astronomy, Information Visualization and Visual Data Mining, Physical Sciences, Computer Science, GALAXIES: GROUPS: GENERAL, Computer Vision and Pattern Recognition, GALAXIES: DISTANCES AND REDSHIFTS

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2402.00120
http://hdl.handle.net/11336/260437

Cluster halo shapes in CDM and SIDM models: unveiling the DM particle nature using a weak-lensing approach

Autoren: Elizabeth Johana Gonzalez Agustín M. Rodríguez-Medrano Luis Pereyra et al.

Quelle: Monthly Notices of the Royal Astronomical Society. 528:3075-3091

Schlagwörter: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Astrophysical Simulations, FOS: Physical sciences, Cluster (spacecraft), Astrophysics, Quantum mechanics, Halo, Dark matter, Weak gravitational lensing, Theoretical and Computational Physics, Galaxy Formation and Evolution in the Universe, Physics, Observable, Cold dark matter, Astronomy and Astrophysics, Statistical and Nonlinear Physics, Galaxy cluster, Redshift, Computer science, Programming language, Galaxy, Physics and Astronomy, Information Visualization and Visual Data Mining, Physical Sciences, Computer Science, Computer Vision and Pattern Recognition, Astrophysics - Cosmology and Nongalactic Astrophysics

Zugangs-URL: http://arxiv.org/abs/2308.13461

Multiple Object Tracking Without Pre-attentive Indexing

Autoren: Shubhamkar Ayare Nisheeth Srivastava

Quelle: Open Mind (Camb)
Open Mind, Vol 8 (2024)

Schlagwörter: Consciousness. Cognition, Neurophysiology and neuropsychology, Artificial intelligence, Social Psychology, Neural Mechanisms of Visual Perception and Processing, Cognitive Neuroscience, Sensory Integration, Social Sciences, Search engine indexing, Color Psychology and Product Design, Tracking system, Pattern recognition (psychology), 7. Clean energy, 03 medical and health sciences, Identification (biology), 0302 clinical medicine, Tracking (education), Information Visualization, Psychology, 0501 psychology and cognitive sciences, Biology, Eye tracking, QP351-495, Pedagogy, 4. Education, 05 social sciences, Botany, Life Sciences, Interactive Visualization, Computer science, FOS: Psychology, Information Visualization and Visual Data Mining, Motion Processing, Video tracking, Computer Science, Physical Sciences, Visual Perception, Computer vision, Object (grammar), Computer Vision and Pattern Recognition, Kalman filter, BF309-499, Research Article, Neuroscience

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38571528
https://doaj.org/article/345945c9f0f54a5f85a58d47522e2b3c

A workflow to systematically design uncertainty-aware visual analytics applications

Autoren: Robin G. C. Maack Felix Raith Juan F. Pérez et al.

Quelle: The Visual Computer. 41:1485-1498

Schlagwörter: Graph Visualization, Analytics, Usability, 02 engineering and technology, 7. Clean energy, Workflow, Data science, Database, Information Visualization, 0202 electrical engineering, electronic engineering, information engineering, 14. Life underwater, Data mining, Visualization, Species Distribution Modeling and Climate Change Impacts, Software engineering, Human–computer interaction, Data visualization, Ecological Modeling, Visual analytics, Interactive Visualization, Automatic Video Summarization and Analysis, 15. Life on land, Computer science, Process (computing), Operating system, Interactive visual analysis, Information Visualization and Visual Data Mining, 13. Climate action, Visual Analytics, Computer Science, Physical Sciences, Environmental Science, Computer Vision and Pattern Recognition, Visual Representation

Angle-uniform parallel coordinates

Autoren: Kaiyi Zhang Liang Zhou Lu Chen et al.

Quelle: Computational Visual Media, Vol 9, Iss 3, Pp 495-512 (2023)

Schlagwörter: FOS: Computer and information sciences, Stereo Vision and Depth Estimation, Orthogonal coordinates, Artificial intelligence, Bipolar coordinates, Geometry, Plane (geometry), Biochemistry, Gene, Computer Science - Graphics, correlations, Clutter, FOS: Mathematics, Computer Graphics and Visualization Techniques, parallel coordinates, Visualization, Spatial Analysis, Radar, Data visualization, Parabolic coordinates, deformation, QA75.5-76.95, Computer Graphics and Computer-Aided Design, Computer science, Parallel, Graphics (cs.GR), Parallel coordinates, Algorithm, Chemistry, Information Visualization and Visual Data Mining, Electronic computers. Computer science, Computer Science, Physical Sciences, Transformation (genetics), Telecommunications, Computer Vision and Pattern Recognition, Mathematics, multidimensional data, Log-polar coordinates

Zugangs-URL: http://arxiv.org/abs/2205.14430
https://doaj.org/article/ee06f458c5534fc6ba7ac5dd006c9658

A Video Game-Crowdsourcing Approach to Discover a Player’s Strategy for Problem Solution to Facility Location

Autoren: Mariano Vargas-Santiago D. Assaely León-Velasco Christian E. Maldonado-Sifuentes et al.

Quelle: IEEE Access. 11:123194-123208

Schlagwörter: Economics and Econometrics, Artificial intelligence, Economics of Professional Sports and Prediction Markets, Social Sciences, Normalization (sociology), Mathematical analysis, 7. Clean energy, Data science, 12. Responsible consumption, Cluster analysis, Sociology, Artificial Intelligence, Real-Time Strategy Games, Machine learning, 11. Sustainability, FOS: Mathematics, Domain (mathematical analysis), Human–computer interaction, 9. Industry and infrastructure, 4. Education, 15. Life on land, 16. Peace & justice, Computer science, Game Artificial Intelligence Research, Player Modeling, FOS: Sociology, Programming language, World Wide Web, Economics, Econometrics and Finance, Information Visualization and Visual Data Mining, Anthropology, Computer Science, Physical Sciences, 8. Economic growth, General Game Playing, Crowdsourcing, Computer Vision and Pattern Recognition, Comprehension, Mathematics

VOSviewer and Bibliometrix

Autoren: Humberto Arruda Édison Renato Silva Marcus Lessa et al.

Quelle: J Med Libr Assoc
Journal of the Medical Library Association, Vol 110, Iss 3 (2022)

Schlagwörter: Technology, Universities, VOSviewer, 05 social sciences, Library science, Computer science, Bibliography. Library science. Information resources, 03 medical and health sciences, 0302 clinical medicine, Italy, Information Visualization and Visual Data Mining, Bibliometrics, Computer Science, Physical Sciences, Bibliometrix, Medicine, Humans, 0501 psychology and cognitive sciences, Computer Vision and Pattern Recognition, Resource Reviews, Visual Representation

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/36589296
https://doaj.org/article/7c4804a21b29466e8d63056076bcd1eb

Visualização de Dados no campo do Design: habilidades necessárias para uma área em expansão

Autoren: Luiz LUDWIG Júlia Rabetti Giannella Doris KOSMINSKY

Quelle: Blucher Design Proceedings. :7487-7502

Schlagwörter: FOS: Computer and information sciences, Graph Visualization, Artificial intelligence, Sociology and Political Science, Social Network Analysis in Education and Communication, 0211 other engineering and technologies, Social Sciences, Epistemology, 02 engineering and technology, Information Visualization, Field (mathematics), FOS: Mathematics, 10. No inequality, Visualization, 9. Industry and infrastructure, 4. Education, Pure mathematics, Interactive Visualization, Knowledge Mapping and Information Architecture, Computer science, FOS: Philosophy, ethics and religion, Philosophy, Information Visualization and Visual Data Mining, Visual Analytics, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition, Visual Representation, Mathematics, Information Systems

A transparência de sistemas de recomendação de plataformas de Vídeo sob Demanda (VoD): categorias de conteúdos

Autoren: Cinthia RUIZ Manuela QUARESMA

Quelle: Blucher Design Proceedings. :1609-1624

Schlagwörter: Visual Explanations, Explainable Artificial Intelligence, 9. Industry and infrastructure, 4. Education, 0211 other engineering and technologies, Interactive Visualization, FOS: Humanities, 02 engineering and technology, Computer science, 7. Clean energy, FOS: Philosophy, ethics and religion, 3. Good health, Humanities, Philosophy, Information Visualization and Visual Data Mining, Artificial Intelligence, Information Visualization, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition, 10. No inequality, Visual Representation

Contrasting Explain-ML with Interpretability Machine Learning Tools in Light of Interactive Machine Learning Principles

Autoren: Bárbara Gabrielle C. O. Lopes Liziane Santos Soares Raquel Oliveira Prates et al.

Quelle: Journal on Interactive Systems, Vol 13, Iss 1, Pp 313-334 (2022)

Schlagwörter: Computer engineering. Computer hardware, Visual Explanations, Artificial intelligence, Explainable Artificial Intelligence, Perspective (graphical), Social Sciences, user studies, Data science, TK7885-7895, QA76.75-76.765, Artificial Intelligence, Machine learning, computing methodologies, Interpretability, Computer software, Model Interpretability, 10. No inequality, Human–computer interaction, 9. Industry and infrastructure, 4. Education, Ethical Implications of Artificial Intelligence, human-centered computing, Interactive Visualization, Computer science, Machine Learning Interpretability, Process (computing), 3. Good health, Operating system, machine learning, semiotic inspection method, Information Visualization and Visual Data Mining, Computer Science, Physical Sciences, information visualization, Computer Vision and Pattern Recognition, Safety Research, Interpretable Models

Zugangs-URL: https://doaj.org/article/3f95949496954880a68194d35a652454

User-centered visual explorer of in-process comparison in spatiotemporal space

Autoren: Yuhan Dong Oppermann Ian Jie Liu et al.

Quelle: J Vis (Tokyo)

Schlagwörter: Graph Visualization, History, Geometry, Epistemology, 02 engineering and technology, Clustering of Time Series Data and Algorithms, Data Exploration, Information visualization, Information Visualization, XXXXXX - Unknown, Regular Paper, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Image Quality Assessment in Multimedia Content, Data mining, Biology, Visualization, Human–computer interaction, Data visualization, Visual analytics, Visual space, Interactive Visualization, Computer science, Timeline, Process (computing), Programming language, FOS: Philosophy, ethics and religion, Philosophy, Information Visualization and Visual Data Mining, Archaeology, Computer Science, Physical Sciences, Signal Processing, Perception, Computer Vision and Pattern Recognition, Abstraction, Visual Representation, Block (permutation group theory), Mathematics, Neuroscience

Dateibeschreibung: print

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/36406961

A SPATIO-TEMPORAL VISUAL ANALYTICS TOOL FOR SIMULATED TRANSPORT ORIENTED-LAND USE URBAN PLANNING DATA

Autoren: L. Merchan Zorro A. A. Vivas Meza O. D. Bautista Acosta et al.

Quelle: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W5-2022, Pp 113-120 (2022)

Schlagwörter: Technology, Graph Visualization, Analytics, Data analysis, 0211 other engineering and technologies, 02 engineering and technology, Data science, Systems engineering, Task (project management), Context (archaeology), Engineering, Information Visualization, Urban planning, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, Software deployment, Applied optics. Photonics, Land-use planning, Civil engineering, Data mining, Visualization, Spatial Analysis, Software engineering, Geography, Visual analytics, Interactive Visualization, Transport engineering, 15. Life on land, Engineering (General). Civil engineering (General), Computer science, TA1501-1820, Information Visualization and Visual Data Mining, Archaeology, Visual Analytics, Computer Science, Physical Sciences, Land use, Computer Vision and Pattern Recognition, TA1-2040, FOS: Civil engineering

Dateibeschreibung: application/pdf

Zugangs-URL: https://isprs-archives.copernicus.org/articles/XLVIII-4-W5-2022/113/2022/
https://doaj.org/article/0e4b0c419c56449a93be87e167353820

Improving Logical Structure Analysis of Visually Structured Documents with Textual Features

Autoren: Huu-Loi Le Nghia Luu Trong Huyen Ngo Thanh

Quelle: Annals of computer science and information systems, Vol 33, Pp 151-156 (2022)

Schlagwörter: Graph Visualization, Artificial intelligence, Natural language processing, 4. Education, Interactive Visualization, Information technology, QA75.5-76.95, T58.5-58.64, 16. Peace & justice, Computer science, Artificial Intelligence and Expert Systems, Automatic Keyword Extraction from Textual Data, Information Visualization and Visual Data Mining, Artificial Intelligence, Information Visualization, Electronic computers. Computer science, Computer Science, Physical Sciences, Information retrieval, Computer Vision and Pattern Recognition, Textual Data, Visual Representation

Zugangs-URL: https://doaj.org/article/bf7bb41d08d544ff8b346c2a14eb45f9

JamVis: exploration and visualization of traffic jams

Autoren: Elio Rodriguez Nivan Ferreira Jorge Poco

Quelle: The European Physical Journal Special Topics. 231:1673-1687

Schlagwörter: Visual Tracking, Analytics, Component (thermodynamics), Social Sciences, Transportation, 02 engineering and technology, Mathematical analysis, Quantum mechanics, 7. Clean energy, Visual Object Tracking and Person Re-identification, Data science, Cluster analysis, Information Visualization, Machine learning, 11. Sustainability, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Polymer chemistry, Event (particle physics), Data mining, Visualization, Domain (mathematical analysis), Physics, Visual analytics, Interactive Visualization, 15. Life on land, Urban Analysis, Computer science, Chemistry, Information Visualization and Visual Data Mining, 13. Climate action, Visual Analytics, Computer Science, Physical Sciences, Thermodynamics, Computer Vision and Pattern Recognition, Modal, Mathematics, Understanding Human Mobility Patterns

Zugangs-URL: https://link.springer.com/content/pdf/10.1140/epjs/s11734-021-00424-2.pdf

Building information visualization of e-learning data with Vis2Learning guidelines

Autoren: Maylon Pires Macedo Ranilson Paiva Isabela Gasparini et al.

Quelle: Journal on Interactive Systems, Vol 13, Iss 1, Pp 42-53 (2022)

Schlagwörter: Computer engineering. Computer hardware, Graph Visualization, Artificial intelligence, Data set, Set (abstract data type), user interaction, infovis, Data science, TK7885-7895, QA76.75-76.765, Context (archaeology), Information visualization, Information Visualization, FOS: Mathematics, Computer software, Chart, 10. No inequality, Data mining, Biology, Visualization, learning analytics, Human–computer interaction, Data visualization, 4. Education, Statistics, 05 social sciences, Interactive Visualization, Paleontology, 15. Life on land, Computer science, Computer Science Applications, Process (computing), Programming language, Operating system, Information Visualization and Visual Data Mining, Visual Analytics, Computer Science, Physical Sciences, educational data, information visualization, Computer Vision and Pattern Recognition, Educational Data Mining and Learning Analytics, 0503 education, Visual Representation, Mathematics

Zugangs-URL: https://sol.sbc.org.br/journals/index.php/jis/article/download/1967/1897
https://doaj.org/article/a744ced8625f41628a8a6c71ccd50a76

Neighborhood hypergraph model for topological data analysis

Autoren: Jian Liu Dong Chen Jingyan Li et al.

Quelle: Computational and Mathematical Biophysics, Vol 10, Iss 1, Pp 262-280 (2022)

Schlagwörter: Graph Visualization, QC1-999, hypergraph, 0102 computer and information sciences, 92e10, neighborhood hypergraph, 01 natural sciences, 7. Clean energy, Graph, Statistical Topology, Biochemistry, Genetics and Molecular Biology, FOS: Mathematics, Persistent homology, 0101 mathematics, Molecular Biology, Persistent Homology, neighborhood complex, Physics, Topological Methods, Life Sciences, Discrete mathematics, persistent homology, Analysis of Gene Interaction Networks, Vertex (graph theory), Algorithm, 55n31, Parameterized complexity, Topological Data Analysis in Science and Engineering, Computational Theory and Mathematics, Information Visualization and Visual Data Mining, Combinatorics, Hypergraph, geometric graphs, Computer Science, Physical Sciences, 05c65, Computer Vision and Pattern Recognition, TP248.13-248.65, Mathematics, Biotechnology

Zugangs-URL: https://doaj.org/article/c3b4c1b7154149e3b742fc066c7325a8

Uncertainty-aware visual analytics: scope, opportunities, and challenges

Autoren: Robin G. C. Maack Gerik Scheuermann Hans Hagen et al.

Quelle: The Visual Computer. 39:6345-6366

Schlagwörter: ddc:004, Graph Visualization, Analytics, 02 engineering and technology, Clustering of Time Series Data and Algorithms, 7. Clean energy, Data science, Anomaly Detection in High-Dimensional Data, Artificial Intelligence, Information Visualization, 0202 electrical engineering, electronic engineering, information engineering, Scope (computer science), 14. Life underwater, Data mining, Visualization, Data visualization, Visual analytics, Interactive Visualization, 15. Life on land, Computer science, Process (computing), Programming language, Operating system, Information Visualization and Visual Data Mining, 13. Climate action, Visual Analytics, Computer Science, Physical Sciences, Signal Processing, Uncertainty analysis, Computer Vision and Pattern Recognition, Visual Representation, Simulation

Dateibeschreibung: application/pdf

Zugangs-URL: https://www.researchsquare.com/article/rs-1177485/latest.pdf
https://kluedo.ub.rptu.de/frontdoor/index/index/docId/7917