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
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