Neural Network and Genetic Algorithm based Hybrid Data Mining Algorithm (Hybrid Data Mining Algorithm)

Abstract

A hybrid data mining algorithm is presented in this paper. This hybridization is considered the neural network and genetic algorithm. Academic information contains the finite hidden information. This hidden information can be useful for the further planning in academics. There is definitely a link with the real information and predicted information. The functional dependence and independence are reviewed in this paper. Basically, this paper presents a study of student’s academic performance based on Neural Network and its optimization by Genetic Algorithm. Neural network is formulated by probabilistic approach and genetic algorithm is generalised by discrete distribution of variables. Hence a system is developed to predict academic information, which can be applied in various applications of academic development.