Data mining solutions: methods and tools for solving real-world problems
Data mining solutions: methods and tools for solving real-world problems
TOPIC ISLANDS—a wavelet-based text visualization system
Proceedings of the conference on Visualization '98
The STARLIGHT information visualization system
Readings in information visualization
Multi-Faceted Insight Through Interoperable Visual Information Analysis Paradigms
INFOVIS '98 Proceedings of the 1998 IEEE Symposium on Information Visualization
Visualizing Decision Table Classifiers
INFOVIS '98 Proceedings of the 1998 IEEE Symposium on Information Visualization
30 Years of Multidimensional Multivariate Visualization
Scientific Visualization, Overviews, Methodologies, and Techniques
Visualizing the non-visual: spatial analysis and interaction with information from text documents
INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization
Research Report: Volume Rendering for Relational Data
INFOVIS '97 Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)
Optimization of Association Word Knowledge Base through Genetic Algorithm
DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
Feature Selection Using Association Word Mining for Classification
DEXA '01 Proceedings of the 12th International Conference on Database and Expert Systems Applications
Unified descriptive language for association rules in data mining
Second international workshop on Intelligent systems design and application
Visualizing Sequential Patterns for Text Mining
INFOVIS '00 Proceedings of the IEEE Symposium on Information Vizualization 2000
A User-driven and Quality-oriented Visualization for Mining Association Rules
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Visualization of association rules over relational DBMSs
Proceedings of the 2003 ACM symposium on Applied computing
Visualizing constraint-based temporal association rules
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Combining visual techniques for Association Rules exploration
Proceedings of the working conference on Advanced visual interfaces
Pruning and Visualizing Generalized Association Rules in Parallel Coordinates
IEEE Transactions on Knowledge and Data Engineering
Visual data mining in software archives
SoftVis '05 Proceedings of the 2005 ACM symposium on Software visualization
Opportunity map: a visualization framework for fast identification of actionable knowledge
Proceedings of the 14th ACM international conference on Information and knowledge management
A Visual Data Mining Framework for Convenient Identification of Useful Knowledge
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Maximal Association Rules: A Tool for Mining Associations in Text
Journal of Intelligent Information Systems
Recognition of emergent human behaviour in a smart home: A data mining approach
Pervasive and Mobile Computing
Visual Analytics: A 2D-3D visualization support for human-centered rule mining
Computers and Graphics
Visual Exploration of Frequent Itemsets and Association Rules
Visual Data Mining
Visual Mining of Association Rules
Visual Data Mining
Using 2D Hierarchical Heavy Hitters to Investigate Binary Relationships
Visual Data Mining
Analysis and Interpretation of Visual Hierarchical Heavy Hitters of Binary Relations
ADBIS '08 Proceedings of the 12th East European conference on Advances in Databases and Information Systems
URBAN CRIME ANALYSIS THROUGH AREAL CATEGORIZED MULTIVARIATE ASSOCIATIONS MINING
Applied Artificial Intelligence
Exploration of SWRL Rule Bases through Visualization, Paraphrasing, and Categorization of Rules
RuleML '09 Proceedings of the 2009 International Symposium on Rule Interchange and Applications
SMARViz: Soft Maximal Association Rules Visualization
IVIC '09 Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice
A decision support system to improve e-learning environments
Proceedings of the 2010 EDBT/ICDT Workshops
Visualizing frequent itemsets, association rules, and sequential patterns in parallel coordinates
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartI
An interactive approach to display large sets of association rules
Proceedings of the 2007 conference on Human interface: Part I
Watch the Story Unfold with TextWheel: Visualization of Large-Scale News Streams
ACM Transactions on Intelligent Systems and Technology (TIST)
A framework for visualizing association mining results
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
Visualizing association rules in a framework for visual data mining
From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments
VisAR: a new technique for visualizing mined association rules
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
Visualizing defeasible logic rules for the semantic web
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
Visual analysis of complex firewall configurations
Proceedings of the Ninth International Symposium on Visualization for Cyber Security
WLAR-Viz: weighted least association rules visualization
ICICA'12 Proceedings of the Third international conference on Information Computing and Applications
Automatic Item Weight Generation for Pattern Mining and its Application
International Journal of Data Warehousing and Mining
A service oriented architecture to provide data mining services for non-expert data miners
Decision Support Systems
Exploration of geo-tagged photos through data mining approaches
Expert Systems with Applications: An International Journal
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An association rule in data mining is an implication of the form X - Y where X is a set of antecedent items and Y is the consequent item. For years researchers have developed many tools to visualize association rules. However, few of these tools can handle more than dozens of rules, and none of them can effectively manage rules with multiple antecedents. Thus, it is extremely difficult to visualize and understand the association information of a large data set even when all the rules are available. This paper presents a novel visualization technique to tackle many of these problems. We apply the technology to a text mining study on large corpora. The results indicate that our design can easily handle hundreds of multiple antecedent association rules in a three-dimensional display with minimum human interaction, low occlusion percentage, and no screen swapping.