Performance Evaluation and Comparison of Clustering Algorithms used in Educational Data Mining
N. Valarmathy1, S. Krishnaveni2
1N.Valarmathy, Ph.D Research Scholar, Assistant Professor, Department of Computer Science PG Research, Pioneer College of Arts and Science, Coimbatore (Tamil Nadu), India.
2S. Krishnaveni, Department of Physics, University of Mysore (Karnataka), India.
Manuscript received on 02 May 2019 | Revised Manuscript received on 14 May 2019 | Manuscript Published on 23 May 2019 | PP: 103-113 | Volume-7 Issue-6S5 April 2019 | Retrieval Number: F10180476S519/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Data mining in educational system has received great interest and has become a new emerging research nowadays. Recently all universities and colleges are generating huge volume of data by conducting online exams and storing lot of information for future purposes. These massive amount of data stored needs some data mining techniques to retrieve some useful and meaningful information from the dataset. The real victory can be achieved only when task specialized is applied so that it can be effective in that area. This paper surveys the application of data mining to traditional educational systems, various well known clustering algorithms, its applications, advantages and disadvantages. This paper also focuses on performance evaluation of some clustering algorithms using educational dataset.
Keywords: Clustering Algorithms; Applications; Data Mining; Performance Evaluation of Algorithms; Education System.
Scope of the Article: Data Mining