Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential used in various commercial applications including retail sales, e-commerce, remote sensing, bioinformatics etc. Education is an essential element for the progress of country. Mining in educational environment is called Educational Data Mining. Educational data mining is concerned with developing new methods to discover knowledge from educational database. In order to analyze student trends & behavior towards education an attempt to study the present behavioral pattern of student in a cross section is a must. This paper surveys an application of data mining in education system & also present result analysis using WEKA tool. As we know large amount of data is stored in educational database, so in order to get required data & to find the hidden relationship, different data mining techniques are developed & used. There are varieties of popular data mining task within the educational data mining e.g. classification, clustering, outlier detection, association rule, prediction etc.How each of data mining tasks can be applied to education system is explained. In this paper we analyze the performance of final year UG Information Technology course students of our college & present the result which we have achieved using WEKA tool.

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Classification Clustering Association rule Outlier detection WEKA