The Application of Data Mining in Sports and Extracurricular Activities
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2019 by IJCTT Journal|
|Year of Publication : 2019|
|Authors : Tansen Patel, Uttam Kumar Sahu|
|DOI : 10.14445/22312803/IJCTT-V67I4P107|
MLA Style: Tansen Patel, Uttam Kumar Sahu "The Application of Data Mining in Sports and Extracurricular Activities" International Journal of Computer Trends and Technology 67.4 (2019): 33-36.
APA Style:Tansen Patel, Uttam Kumar Sahu (2019). The Application of Data Mining in Sports and Extracurricular Activities. International Journal of Computer Trends and Technology, 67(4), 33-36.
Data mining has been playing a more and more important role in all fields and had an increasingly greater influence. By using association analysis of data mining and classification algorithm, this paper analyzes the result data of college sports and extracurricular activities, which were held in last four year’s data of csvtu - youth festival. It studies the correlation between different students, branches, semesters, events and years. This research paper use k-means technique in data mining for mining our dataset which comes under clustering techniques of data mining. WEKA software is used to implement for the result part. The paper suggests the implementation of k-means Clustering technique of data mining.
 Gary M. Weiss, Ph.D., Department of Computer and Information Science, Fordham University.
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Data Mining, WEKA, Clustering, k-means.