International Conference on Advanced Computing, Communication and Networks - CCN 2011
Author(s) : ANURADHA PUROHIT, KIRTI ARORA, NEELA PANDIT, SHALINI BANSAL, SMITA SHARMA
This paper presents a Genetic Algorithm (GA) based approach for selecting small number of representative features from a large dataset thereby leaving irrelevant features. Fitness function is used to decide the fitness of each individual using k- NN classifier and genetic algorithm. Real dataset such as Bank search dataset is used to test the proposed approach. Experimental results show that the number of features have been reduced significantly by using genetic algorithm.