Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Usability inspection methods
Advances in knowledge discovery and data mining
Cluster analysis and mathematical programming
Mathematical Programming: Series A and B - Special issue: papers from ismp97, the 16th international symposium on mathematical programming, Lausanne EPFL
The prototype of the DARE system
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Information visualization in data mining and knowledge discovery
Information visualization in data mining and knowledge discovery
Designing the User Interface: Strategies for Effective Human-Computer Interaction
Designing the User Interface: Strategies for Effective Human-Computer Interaction
Usability Engineering
Brief Application Description; Visual Data Mining: Recognizing Telephone Calling Fraud
Data Mining and Knowledge Discovery
IEEE Transactions on Knowledge and Data Engineering
NicheWorks - Interactive Visualization of Very Large Graphs
GD '97 Proceedings of the 5th International Symposium on Graph Drawing
Foundations of the DARE System for Drawing Adequate REpresentations
DANTE '99 Proceedings of the 1999 International Symposium on Database Applications in Non-Traditional Environments
A Java-Based Visual Mining Infrastructure and Applications
INFOVIS '99 Proceedings of the 1999 IEEE Symposium on Information Visualization
Visualization and analysis of multi-variate data: a technique for all fields
VIS '91 Proceedings of the 2nd conference on Visualization '91
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It cannot be overstated that the knowledge discovery process still presents formidable challenges. One of the main issues in knowledge discovery is the need for an overall framework that can support the entire discovery process. It is worth noting the role and place of visualization in such a framework. Visualization enables or triggers the user to use his/her outstanding visual and mental capabilities, thereby gaining insight and understanding of data. The foregoing points to the pivotal role that visualization can play in supporting the user throughout the entire discovery process. The work reported in this chapter is part of a project aiming at developing an open data mining system with a visual interaction environment that supports the user in the entire process of mining knowledge.