DATA MINING TECHNIQUES FOR EDUCATIONAL DATA: A REVIEW

Pragati Sharma; Dr. Sanjiv Sharma

doi:10.29121/ijetmr.v5.i2.2018.641

Authors

Pragati Sharma Research Scholar of Masters of Technology, Department of CSE and IT, Madhav Institute of Technology and Science, Gwalior, India
Dr. Sanjiv Sharma Assistant Professor, Department of CSE and IT, Madhav Institute of Technology and Science, Gwalior, India

DOI:

https://doi.org/10.29121/ijetmr.v5.i2.2018.641

Keywords:

Data mining, Educational Mining, Classification, Clustering

Abstract

Recently, data mining is gaining more popularity among researcher. Data mining provides various techniques and methods for analysing data produced by various applications of different domain. Similarly, Educational mining is providing a way for analyzing educational data set. Educational mining concerns with developing methods for discovering knowledge from data that come from educational field and it helps to extract the hidden patterns and to discover new knowledge from large educational databases with the use of data mining techniques and tools. Extracted knowledge from educational mining can be used for decision making in higher educational institutions. This paper is based on literature review of different data mining techniques along with certain algorithms like classification, clustering etc. This paper represents the effectiveness of mining techniques with educational data set for higher education institutions.

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