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Genetic Algorithm Performance in AR Mining by Anonymous TxPyX8c is a document available to read on EtoBox.
This document analyzes the performance of genetic algorithms for mining association rules from large databases. Genetic algorithms have proven effective at generating accurate association rules by varying parameters like fitness function, crossover rate, and mutation rate. Modifying the selection method and fitness function was found to increase the speed of discovering rules from the data. The paper surveys previous work applying genetic algorithms to association rule mining and analyzes how different para
- Author
- Anonymous TxPyX8c
- Language
- EN