Intelligent Learning System using Data Mining-Ilsdm
M. Kavitha1, M. Suganthy2, R. Srinivasan3
1M. Kavitha, Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India.
2M. Sugnathy, Department of Electronics and Communication Engineering, Vel Tech Multitech Dr. Rangarajan Dr. Sagunthala Engineering College, Chennai, India.
3R. Srinivasan, Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India.
Manuscript received on 25 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 505-508 | Volume-8 Issue-9, July 2019 | Retrieval Number: I7705078919/19©BEIESP | DOI: 10.35940/ijitee.I7705.078919
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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: In this paper, adapted learning methodology is proposed using Data mining techniques to satisfy the individual needs of the student. First part of the proposed methodology is to create student profile, so that need of the student is analyzed. K-means clustering is used to group the contents of a particular student. C4.5 Algorithm is implemented in the dashboard section to display the content to the user. Second part is to develop intelligent learning application by using Page ranking algorithm. For every user, the content displayed on the dashboard is different. Content are selected and displayed from the database to the user after analyzing their answers submitted in the questionnaire section. As every user has different area of interest and according to their choice the contents are displayed. The page ranking algorithm helps keeping the most preferred and referred material at the top.
Keyword: C4.5 Algorithm Dashboard, Data Mining, K-Means Clustering, Page Ranking
Scope of the Article: Data Mining