Predicting Risk for Evaluating Eligible Students using Multi-Dimensional

Abstract

Data Mining extracts required information from large dataset. The Key Concept of Data mining is to classify the desired data

according to posterior probability. It utilizes data classification and prediction technique generating students rank list for college

admission is an important risk in all the institution eligible students for particular discipline is evaluated based on specified constraints

here risk evaluation and prediction is performed which allows the user to generate the risk predicting and determine whether seats can

be granted or not. This paper concentrates mainly the concept of multidimensional data classification and clustering for predicting the

risks