International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,August 2018,

Topic : A review on Data Mining Algorithms and Attributes for Decision Support Systems in Education Domain

Authors:Thingbaijam Lenin ||

Abstract:Educational Decision Support System has become one of the fundamental needs for any learning centers. Data mining techniques have found to be capable of providing the Decision Support System (DSS) in education domain. Conventional Data mining algorithms needs to be adapted and modified for applying the educational data. The accuracy of any data mining algorithm is also considered to be affected by the attributes selected. This study focuses on different algorithms and attributes used in developing DSS. It is found that most of the studies aimed on improving the performance academic accomplishment of the students and less research has been conducted in providing a decision support system for organizing and maintaining educational infrastructure, areas of interest of students and courses demanded. It is also found that demographic features and students’ past academic details are mainly used as attributes in this area of study. Student’s psychology, its intelligence and the way student learn have not been found to be used as attributes while considering the DSS in education domain.

Keywords: Educational Data Mining, Knowledge Discovery, Academic Analytics, Decision Support System

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DOI: 01.1617/vol5/iss8/pid41306


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
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