Date of Publication :31st December 2017

Abstract: Neural network techniques are applied in an ample number of fields in the recent decades. Educational data mining is one among them where the data mining could be carried out effectively. The core tasks are classification, clustering and grasping of association rules. These could be accomplished with suitable educational data. Enormous algorithms, techniques, and tools are available for data mining. Identifying a best suitable algorithm for a specific task is still intricate. This paper deals with the performance of some well formed neural network methods on students’ performance prediction. Predictive analysis is a significant task in the education domain. Exploitation of students’ mark data leads to the better predictive analysis. In the field of educational data mining, most of the research work focuses on predictive analysis and models. There is a scope for multidimensional predictions. This paper indicates some viewpoints of neural network based educational data mining.

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