International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




Downloads: 122

Research Paper | Computer Science & Engineering | India | Volume 4 Issue 4, April 2015


Performance Prediction of Players in Sports League Matches

Praveen Kumar Singh | Muntaha Ahmad


Abstract: The objective of this article is to discover the better performing team in the Hockey India League (HIL) for the purpose of formation of the winning team based on cluster analysis of their past performance by using the machine learning techniques. Two most prevalent machine learning techniques k-means and fuzzy clustering have been used respectively to predict the better performing player. The results of the two techniques proposed were compared and were found nearly identical. The complexity of initializing K-means clustering technique is resolved by using MacQueen algorithm. The results obtained from Hockey Indian League Goal statistics dataset were used to detect n-clusters to handle the imprecise and ambiguous result. Finally, this article proposed a K-Means clustering technique which provides efficient and accurate data analysis in the field of data mining.


Keywords: Sports data mining, K-means clustering, fuzzy clustering, MacQueen algorithm, HIL


Edition: Volume 4 Issue 4, April 2015,


Pages: 2207 - 2213

Performance Prediction of Players in Sports League Matches


How to Cite this Article?

Praveen Kumar Singh, Muntaha Ahmad, "Performance Prediction of Players in Sports League Matches", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SUB153564, Volume 4 Issue 4, April 2015, 2207 - 2213, #ijsrnet

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