Abstract: “This paper focuses on performing rule based classification in Data Mining using Genetic Algorithm (GA). The objective functions namely comprehensibility, predictive accuracy, interestingness, coverage are used to evaluate the fitness value of each classification rule obtained using GA. For presenting our approach a real dataset is used. Experimental results shows that the rule based classification designed using GA efficiently identify the pattern using multiple objective functions.”

Keywords: Genetic Algorithm, data mining, classification, fitness function, crossover, mutation, reproduction