Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1224
Title: A review on identifying influencing factors and data mining techniques best suited for analyzing students' performance
Authors: Marwaha A
Ahuja S.
Keywords: Classification
Data mining
Data mining techniques
Educational data mining
Predicting students' performance
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: Educational Data Mining is focused on development of different ways to analyze the unique types of data in educational environment and, implementing these methods, to better understanding students and the environment in which they learn. Various forms of data from the Internet and other educational software's provides large amount of educational data. In this paper we have reviewed the various data mining methods that are used in educational context for improvement in existing knowledge domain by efficient analysis and interpretation of the available data. This paper summarizes and review the various techniques used for identifying key features and influencing factors for analyzing students' performance from educational data. � 2017 IEEE.
URI: 10.1109/ICBDACI.2017.8070866
http://hdl.handle.net/123456789/1224
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