Student's Placement Eligibility Prediction using Fuzzy Approach

The main objective of this paper is to develop a basic prototype model which can determine and extract unknown knowledge (patterns, concepts and relations) related with multiple factors from past database records of specific students. Data mining is science and engineering study of extracting previously undiscovered patterns from a huge set of data. Data mining techniques are helpful for decision making as well as for discovering patterns of data. In this paper students eligibility prediction system using Rule based classification is proposed to predict the eligibility of students based on their details with high prediction accuracy. In Educational Institutes, a tremendous amount of data is generated. This paper outlines the idea of predicting a particular student's placement eligibility by performing operations on the data stored. In this paper an efficient algorithm with the technique Fuzzy for prediction is proposed.