Association Rule Mining with Multi-Fitness Function Genetic Algorithm

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Provided by: International Journal for Science and Emerging Technologies with Latest Trends (IJSETT)
Topic: Big Data
Format: PDF
Generating association rules is generally done by association rule mining algorithm like classical algorithm Apriori, FP-tree partition and so on. Genetic algorithm can also implement to generate association rules. Main advantage of Genetic algorithm is that it can perform global search. This paper presents proposed algorithm Multi-Fitness function Genetic Algorithm (MFGA) based association rule mining. This proposed algorithm generates intersecting rules from dataset. A fitness function is defined for frequent itemset and then different fitness function for generating rules.
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