Mining Frequent Itemsets Using Genetic Algorithm

Association rule plays a vital role for mining frequent itemsets which is the recent research area in data mining. Frequent itemsets are generated by using partition, sampling and hashing technique. By using Genetic Algorithm (GA) we can improve the efficieny of finding frequent itemsets. The advantage of Genetic Algorithm is to find the frequent itemsets with less time complexity. The main aim of this paper is to find the frequent itemsets from the Dengue Virus data sets. Our findings reveals that Leucine (L), Phenylalanine (F), Lysine (K), Serine (S) and Glycine (G) are the dominating amino acids in Dengue Virus Type-1.genetic algorithm.This paper reveals the same dominating amino acids with less time in seconds.