Improved student psychology prediction & recommendation strategy using 2 state data analysis

Psychological prediction systems are used by psychologist to assist condition of individual. Various theories are used to map psychological conditions to recommendations such as “Maslow Theory”. The automated prediction and recommendation systems use knowledge mining and analytical algorithms to generate accurate predictions. The aim of proposed model is to implement Maslow theory using improved knowledge mining and analytical algorithms to predict accurately the psychological status of individual and suggest relevant heeling therapy for them. This paper presents the simulation results of implementation of the prediction and recommendation system using association rule mining and statistical method like Pearson´s co-relation.