Major Courses Selection using Three Layer Factors: A Recommender System
Ghanta. Pavani Lakshmi Mounika1, Bobburi Sri Sai Chaitanya2, Chitte. Sai Manohar Reddy3, Jonnalagadda. Surya Kiran4
1Ghanta. Pavani Lakshmi Mounika, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India..
2Bobburi. Sri Sai Chaitanya, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India..
3Chitte. Sai Manohar Reddy, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India..
4Jonnalagadda. Surya Kiran, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
Manuscript received on November 11, 2019. | Revised Manuscript received on November 20 2019. | Manuscript published on 30 November, 2019. | PP: 11441-11448 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9100118419/2019©BEIESP | DOI: 10.35940/ijrte.D9100.118419
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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 is one of the significant territories. Since numerous understudies will face difficulties and disarray while picking their significant courses in their graduation and even in the wake of picking their real few are in danger of bombing in it because of less intrigue and endeavors, so we should have a model to discover their interests and help them to pick their real seminars all alone. This methodology proposes three-layered representation which could be adjusted consecutively for the profound established arrangement. The recommended model would be utilized to early identify students who may be in danger because of miss coordinate determinations of the major course’s groupings. The essential target incorporates the disclosure of examples, wherein the students can choose or lessen danger of failure of their major courses.
Keywords: Data Mining, Recommender System, Major Courses, Learning Perspectives.
Scope of the Article: Data Mining.