Visualizing Concordance of Sets

Abstract

When there is more than one perspective to interpret a dataset concordance (or discordance) between the result sets from the different perspectives plays an important role in getting refined results. For example, several clustering algorithms generate different results for the same input. To get useful insights, users need to combine different perspectives by checking concordance between those results. In this paper, we present an interactive visualization tool called ConSet, where users can effectively examine multiple sets at once. It uses permutation matrix visualization to enable users to easily identify similar sets. In addition a standard Venn diagram, we introduce a Fairy diagram that allows users to compare two or three sets without inconsistencies. We conducted a qualitative user study to evaluate how our tool works in comparison with a traditional set visualization tool based on a Venn diagram. We found that users performed better with ConSet than with the traditional interface for many tasks and most users preferred ConSet.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA446362

Entities

People

  • Bohyoung Kim
  • Bongshin Lee
  • Jinwook Seo

Organizations

  • Seoul National University Bundang Hospital

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Acquisition
  • Algorithms
  • Artificial Intelligence
  • Biomedical Information Systems
  • Computational Biology
  • Computer Graphics
  • Computer Science
  • Data Analysis
  • Data Mining
  • Data Sets
  • Human-Computer Interaction
  • Information Processing
  • Information Retrieval
  • Ontologies
  • Permutations
  • Visualizations

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Database Systems and Applications
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.