EXPLORING FACTORS INFLUENCE SPECIAL STUDENTS PERFORMANCE USING EXTRACTION METHOD

Today the existing challenge in higher education is to make students proficiently. Data mining is one of the best to education rising technique for prediction.  It is the way intended to sustain the accurate necessitate of disability students in the education system. Education is the most important area undergone the influence of innovations in digital revolution. In mining, association rule is the popular approach to set up the association among items. Other than academic variables, huge number of factors plays the important role in prediction. The performance of disability student becomes a serious problem in educational databases. This research paper aims to determine factors that affect the improvement of disability student towards their education. The proposed model analyzes the affected factor that includes demographic data, psychological characteristics to mine all feasible information. The paper concludes the factors with uppermost influence on the performance.