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A Study on Students Enrollment Prediction using Data Mining

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Published:04 January 2016Publication History

ABSTRACT

This paper described on Data Mining methods that could be applied by higher education institution to predict the possible areas on student enrollment. The understanding of prediction methods is important to find which methods could give better and more accurate result with informative knowledge for management to make decisions.

References

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    • Published in

      cover image ACM Conferences
      IMCOM '16: Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication
      January 2016
      658 pages
      ISBN:9781450341424
      DOI:10.1145/2857546

      Copyright © 2016 ACM

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      New York, NY, United States

      Publication History

      • Published: 4 January 2016

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      Overall Acceptance Rate213of621submissions,34%

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