Cognitive Skill Analysis for Students through Problem Solving Based on Data Mining Techniques

Abstract

Aim of this paper to discover the knowledge in effort to identify some of most accumulated information. The problem solving schema such as logical reasoning, Numerical ability and personality task questions are framed by the category of cognitive skills which is analyzed by predicting method in data mining techniques. In this paper focuses data mining techniques to evaluate the student skills based on problem solving resources which can be analysed by Naïve Bayes Classification, FP tree Growth association and Kmeans (kernel) clustering techniques, experimented in rapid miner.