V-Miner: using enhanced parallel coordinates to mine product design and test data

Analyzing data to find trends, correlations, and stable patterns is an important task in many industrial applications. This paper proposes a new technique based on parallel coordinate visualization. Previous work on parallel coordinate methods has shown that they are effective only when variables that are correlated and/or show similar patterns are displayed adjacently. Although current parallel coordinate tools allow the user to manually rearrange the order of variables, this process is very time-consuming when the number of variables is large. Automated assistance is required. This paper introduces an editdistance based technique to rearrange variables so that interesting change patterns can be easily detected visually. The Visual Miner (V-Miner) software includes both automated methods for visualizing common patterns and a query tool that enables the user to describe specific target patterns to be mined or displayed by the system. In addition, the system can filter data according t...

• Type: Conference
• Year: 2004
• Where: KDD
• Authors: Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Schaller
• Keywords: Data Mining, KDD 2004, Parallel Coordinate Methods, Parallel Coordinate Tools, Parallel Coordinate Visualization