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13

GRC
2010
IEEE

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Genetic-Fuzzy Data Mining Techniques

13 years 2 months ago

Genetic-Fuzzy Data Mining Techniques

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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).

Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng

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Applied Computing | Genetic-fuzzy Data | GRC 2010 | Mining | Single Minimum Support |

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Added	11 Feb 2011
Updated	11 Feb 2011
Type	Journal
Year	2010
Where	GRC
Authors	Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng

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