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Visual exploration of categorical and mixed data sets

Sara Johansson
2009 Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery Integrating Automated Analysis with Interactive Exploration - KDD '09  
Quantification of categorical variables enables analysis using commonly used visual representations and analysis techniques for numerical data.  ...  The application enables analysis of mixed data sets by providing an environment for exploratory analysis using common visual representations in multiple coordinated views and algorithmic analysis that  ...  Cate has previously been introduced to some interactive tools for data visualization and exploration through a friend, and is hence familiar with common visual representations.  ... 
doi:10.1145/1562849.1562852 dblp:conf/kdd/Johansson09 fatcat:67xfyezjgba2rctxpbndhqkdsa

User Group Analytics Survey and Research Opportunities

Behrooz Omidvar-Tehrani, Sihem Amer-Yahia
2019 IEEE Transactions on Knowledge and Data Engineering  
In this survey, we discuss different approaches for each component of user group analytics, i.e., discovery, exploration, and visualization.  ...  Group analytics addresses peculiarities of user data such as noise and sparsity to enable insights.  ...  state-of-the-art for user group discovery, exploration and visualization.  ... 
doi:10.1109/tkde.2019.2913651 fatcat:6csthrt4zngqzkaur2lfytrupq

Exploration and visualization of OLAP cubes with statistical tests

Carlos Ordonez, Zhibo Chen
2009 Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery Integrating Automated Analysis with Interactive Exploration - KDD '09  
In On-Line Analytical Processing (OLAP), users explore a database cube with roll-up and drill-down operations in order to find interesting results.  ...  In this work, we propose to combine OLAP dimension lattice traversal and statistical tests to discover significant metric differences between highly similar groups.  ...  Exploration and Visualization After the cube has been built, either with the d or k dimensions, the user can explore it and visualize results.  ... 
doi:10.1145/1562849.1562855 dblp:conf/kdd/OrdonezC09 fatcat:4b3kk6mkm5fdjmmtonpsstl7sq

A process-centric data mining and visual analytic tool for exploring complex social networks

Denis Dimitrov, Lisa Singh, Janet Mann
2013 Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics - IDEA '13  
While many methods, algorithms, and visualizations exist, the capability to apply and combine them for ad-hoc visual exploration or as part of an analytic workflow process is still an open problem that  ...  In this paper, we present Invenio-Workflow, a tool that supports exploratory analysis of network data by integrating workflow, querying, data mining, statistics, and visualization to enable scientific  ...  Acknowledgments This work was supported in part by the National Science Foundation Grant Nbrs. 0941487 and 0937070, and the Office of Naval Research Grant Nbr. 10230702.  ... 
doi:10.1145/2501511.2501519 dblp:conf/kdd/DimitrovSM13 fatcat:v7fmphkudjdp3pma3msxmlerii

A cognitive task analysis of a visual analytic workflow: Exploring molecular interaction networks in systems biology

Barbara Mirel, Felix Eichinger, Benjamin Keller, Matthias Kretzler
2011 Journal of Biomedical Discovery and Collaboration  
They include: usage scenarios, flow diagrams, a cognitive task taxonomy, and a mapping between cognitive tasks and user-centered visualization requirements.  ...  We created representations at levels of detail Journal of Biomedical Discovery and Collaboration 2011: 6, 1-33; doi:10.5210/disco.v6i0.3410 2 that could strategically guide visualization development, and  ...  We are grateful to Terry Weymouth for developing the visualization prototype from the findings of our cognitive task analysis.  ... 
doi:10.5210/disco.v6i0.3410 pmid:21455901 pmcid:PMC3090070 fatcat:mn72wsk52fb7pmm57rgkbchfhi

UserDEV

Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Eric Simon, Fabian Colque Zegarra, João L. D. Comba, Viviane Moreira
2019 Proceedings of the Workshop on Human-In-the-Loop Data Analytics - HILDA'19  
The process consists of group discovery, group exploration, and group visualization. To date, user group analytics is done using separate tools which makes it fragmented and burdensome for analysts.  ...  In this paper, we describe UserDEV, a fullfledged user group analytics pipeline which combines discovery, exploration, and visualization of user groups, in a fully-connected fashion.  ...  In this paper, we introduce UserDEV, a full-fledged user group analytics pipeline which combines Discovery, Exploration, and Visualization of User groups, in a fully-connected fashion.  ... 
doi:10.1145/3328519.3329128 dblp:conf/sigmod/Omidvar-Tehrani19a fatcat:4ydo5totljbxlo4mahuvtgspeu

Surveying the complementary role of automatic data analysis and visualization in knowledge discovery

Enrico Bertini, Denis Lalanne
2009 Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery Integrating Automated Analysis with Interactive Exploration - KDD '09  
The aim of this work is to survey and reflect on the various ways to integrate visualization and data mining techniques toward a mixed-initiative knowledge discovery taking the best of human and machine  ...  The article further uses this information to analyze the discovery process by comparing the analysis steps from the perspective of information visualization and data mining.  ...  We included in the literature papers from major conferences in information visualization, data mining, knowledge discovery and visual analytics.  ... 
doi:10.1145/1562849.1562851 dblp:conf/kdd/BertiniL09 fatcat:qqrfxgbn6fftpcpooralhd5h6i

Visual Exploration and Knowledge Discovery from Biomedical Dark Data [article]

Shashwat Aggarwal, Ramesh Singh
2020 arXiv   pre-print
Data visualization techniques provide a promising solution to explore such data by allowing quick comprehension of information, the discovery of emerging trends, identification of relationships and patterns  ...  In this empirical research study, we use the rich corpus of PubMed comprising of more than 30 million citations from biomedical literature to visually explore and understand the underlying key-insights  ...  All of the techniques that were employed to explore visually and mine knowledge from dark data, i.e., PubMed proved to be of great help in allowing quick comprehension of information, the discovery of  ... 
arXiv:2009.13059v1 fatcat:guz6ezl7urbarac3awsrqgqcbu

Investigating and reflecting on the integration of automatic data analysis and visualization in knowledge discovery

Enrico Bertini, Denis Lalanne
2010 SIGKDD Explorations  
This activity leads to a series of reflections and research questions that can help to further advance the science of visual analytics.  ...  The aim of this work is to survey and reflect on the various ways visualization and data mining can be integrated to achieve effective knowledge discovery by involving the best of human and machine capabilities  ...  We want to explore in more details the problem of better defining Visual Analytics.  ... 
doi:10.1145/1809400.1809404 fatcat:qoigohdou5f2foqcw3xkjytcdy

FpViz

Carson Kai-Sang Leung, Christopher L. Carmichael
2009 Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery Integrating Automated Analysis with Interactive Exploration - KDD '09  
Such a visualizer-called FpViz-gives users an insight about the data, allows them to zoom in and zoom out, and provides details on demand.  ...  Over the past 15 years, numerous algorithms have been proposed for frequent pattern mining as it plays an essential role in many knowledge discovery and data mining (KDD) tasks.  ...  FpViz provides users with visual support for visual analytics as well as knowledge discovery and data mining (KDD).  ... 
doi:10.1145/1562849.1562853 dblp:conf/kdd/LeungC09 fatcat:utugkzqcsbdxhm2qaz2ifsxf4m

Hierarchical difference scatterplots interactive visual analysis of data cubes

Harald Piringer, Matthias Buchetics, Helwig Hauser, Eduard Gröller
2009 Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery Integrating Automated Analysis with Interactive Exploration - KDD '09  
A HDS allows for relating multiple hierarchy levels and explicitly visualizes differences between them in the context of the absolute position of pivoted values.  ...  Data cubes as employed by On-Line Analytical Processing (OLAP) play a key role in many application domains.  ...  IMPLEMENTATION AND USER INTER-FACE HDS have been implemented in the context of Visplore, an application framework for visually supported knowledge discovery in large and high-dimensional datasets.  ... 
doi:10.1145/1562849.1562856 dblp:conf/kdd/PiringerBHG09 fatcat:hq5xlzdd3zf3rihzw7ls7tirf4

Heidi matrix

Soujanya Vadapalli, Kamalakar Karlapalem
2009 Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery Integrating Automated Analysis with Interactive Exploration - KDD '09  
A sample of results displayed and discussed in this paper illustrate how Heidi Visualization can be interpreted.  ...  Heidi is a high dimensional data visualization system that captures and visualizes the closeness of points across various subspaces of the dimensions; thus, helping to understand the data.  ...  Data visualization and information visualization strive to present information obtained from the data in various visual representations to meet the needs of a user analyzing high dimensional data.  ... 
doi:10.1145/1562849.1562859 dblp:conf/kdd/VadapalliK09 fatcat:ry5uyuitljfv3io2jzsjtjslf4

BrainEx: Interactive Visual Exploration and Discovery of Sequence Similarity in Brain Signals

Alicia Howell-Munson, Christopher Micek, Ziheng Li, Michael Clements, Andrew C. Nolan, Jackson Powell, Erin T. Solovey, Rodica Neamtu
2022 Proceedings of the ACM on Human-Computer Interaction  
Additionally, we report on a preliminary user study in which domain experts used the visual exploration interface and affirmed that it meets the requirements.  ...  We developed BrainEx to support interactive exploration and discovery within brain signals datasets.  ...  National Science Foundation under Grant No. 1835307 and a WPI TRIAD grant.  ... 
doi:10.1145/3534516 fatcat:jt2cgo3vqjgz3jtel3kwu3dafe

Online spatial data analysis and visualization system

Yun Lu, Mingjin Zhang, Tao Li, Yudong Guang, Naphtali Rishe
2013 Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics - IDEA '13  
This paper develops an online spatial data analysis and visualization system, TerraFly GeoCloud, which facilitates end users to visualize and analyze spatial data, and to share the analysis results.  ...  Furthermore, users can create unique URLs to visualize and share the analysis results. TerraFly GeoCloud also enables the MapQL technology to customize map visualization using SQL-like statements.  ...  Then, a new unvisited point is retrieved and processed, leading to the discovery of a further cluster or noise points [13] .  ... 
doi:10.1145/2501511.2501522 dblp:conf/kdd/LuZLGR13 fatcat:m23dhdhynnbwtcohvvvavfep5e

StorylineViz: A [Space, Time, Actors, Motion] Segmentation Method for Visual Text Exploration

Iwona Dudek, Jean-Yves Blaise
2016 Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management  
Supporting knowledge discovery through visual means is a hot research topic in the field of visual analytics in general, and a key issue in the analysis of textual data sets.  ...  discovery and sensemaking.  ...  It builds on a knowledge modelling effort and on explorative visual analyses.  ... 
doi:10.5220/0006034600210032 dblp:conf/ic3k/DudekB16 fatcat:55ehx572knhujivuaik2ri4w2m
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