Semi-Automatic Refinement and Assessment of Subgroup Patterns

This paper presents a methodological approach for the semiautomatic refinement and assessment of subgroup patterns using summarization and clustering techniques in the context of intelligent data mining systems. The method provides the suppression of irrelevant (and redundant) patterns and facilitates the intelligent refinement of groups of similar patterns. Furthermore, the presented approach features intuitive visual representations of the relations between the patterns, and appropriate techniques for their inspection and evaluation.

• Type: Conference
• Year: 2008
• Where: FLAIRS
• Authors: Martin Atzmüller, Frank Puppe
• Keywords: Artificial Intelligence, FLAIRS 2008, Intelligent Data Mining, Semiautomatic Refinement, Subgroup Patterns