Predicting Course and Branch Interest among Higher Education Students from Rural and Semi-Urban Area using Data Mining Techniques

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Pooja Shrivastava
Anil Rajput

Abstract

Few years ago, the information flow in education field was relatively simple and the application of technology was limited. However, as we progress into a more integrated world where technology has become an integral part of the business processes, the process of transfer of information has become more complicated. Today, one of the biggest challenges that educational institutions face is the explosive growth of educational data and to use this data to extract some useful hidden patterns to improve the quality of education. Data mining is a significant analytical tool for helping organizations to enhance decision making and analyzing new patterns and relationships among a large amount of data. Data analysis plays an important role for any type of decision support irrespective of type of industry. This paper addresses the applications of data mining in educational institution of Madhya Pradesh to extract useful information from the huge data sets and providing analytical tool to view and use this information for decision making processes by taking real life examples.

 

Keywords- Higher education,, Data mining, Knowledge discover, Classification, Association rule, Decision Tree Prediction

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