Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Identifying the Minimal Transversals of a Hypergraph and Related Problems
SIAM Journal on Computing
Data mining, hypergraph transversals, and machine learning (extended abstract)
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Algorithms for association rule mining — a general survey and comparison
ACM SIGKDD Explorations Newsletter
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Information Visualization in Data Mining and Knowledge Discovery
Information Visualization in Data Mining and Knowledge Discovery
Why so many clustering algorithms: a position paper
ACM SIGKDD Explorations Newsletter
Model-Based Clustering and Visualization of Navigation Patterns on a Web Site
Data Mining and Knowledge Discovery
Detecting Interesting Exceptions from Medical Test Data with Visual Summarization
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Approximating a collection of frequent sets
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
A bi-clustering framework for categorical data
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Visualization of cluster changes by comparing self-organizing maps
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
A Data Mining Formalization to Improve Hypergraph Minimal Transversal Computation
Fundamenta Informaticae
A decision support system to improve e-learning environments
Proceedings of the 2010 EDBT/ICDT Workshops
Intuitive display for search engines toward fast detection of peculiar WWW pages
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
A Data Mining Formalization to Improve Hypergraph Minimal Transversal Computation
Fundamenta Informaticae
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Information visualization is gaining importance in data mining and transactional data has long been an important target for data miners. We propose a novel approach for visualizing transactional data using multiple clustering results for knowledge discovery. This scheme necessitates us to relate different clustering results in a comprehensive manner. Thus we have invented a method for attributing colors to clusters of different clustering results based on minimal transversals. The effectiveness of our method VisuMClust has been confirmed with experiments using artificial and real-world data sets.