Genetic-Fuzzy Data Mining Techniques

This paper surveys some genetic-fuzzy data mining techniques for mining both membership functions and fuzzy association rules. The motivation from crisp mining to fuzzy mining will be first described. Three types of genetic-fuzzy data mining approaches are then described according to the utilized methods and different mining problems, including Integrated GeneticFuzzy approaches for items with Single Minimum Support (IGFSMS), Integrated Genetic-Fuzzy approaches for items with Multiple Minimum Supports (IGFMMS) and Divide-and-Conquer Genetic-Fuzzy approaches for items with Single Minimum Support (DGFSMS).

• Type: Journal
• Year: 2010
• Where: GRC
• Authors: Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng
• Keywords: Applied Computing, Genetic-fuzzy Data, GRC 2010, Mining, Single Minimum Support