Survey on Different Data Mining Techniques for Prediction
Authors:
- 1 August 2018
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 513-519
Abstract
Data Mining has wide applicability due to wide ease of use of large amount of data and requirement of storage as per the need. Data mining techniques are widely useful in educational data mining for analysis of student data. The different data mining techniques such as classification, clustering, association rule mining, decision tree etc. are used in educational field for analyzing student's performance, mindsets, forecasting their result and grouping them as per defined category. These techniques are also used for finding various patterns. Educational data mining helps for improving student's performance, for managing the student database and for managing the institute. This paper focuses on different data mining techniques that are useful for predicting student performance.Keywords
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