Application of Association Rule Mining: A case study on team India

• Published in: 2013 International Conference on Computer Communication and Informatics pp. 1 - 6
• Main Authors: Raj, K. A. A. D., Padma, P.
• Format: Conference Proceeding Journal Article
• Language: English
• Published: IEEE 01.01.2013
• Subjects: Algorithm design and analysis; Algorithms; Association rules; Australia; Computers; Conferences; Crickets; Data mining; Grounds; India; Informatics; Interesting rules; Management; rule mining; Sports management; Strategy; Team India
• ISBN: 1467329061; 9781467329064
• DOI: 10.1109/ICCCI.2013.6466294

This paper applies Association Rule Mining algorithm to sports management, especially mining relationship from data on performance of Indian cricket team in one day international (ODI) matches. This analysis will help in determining factors associated with the match outcome so as to enable the team to formulate match winning strategies. Data has been obtained from secondary sources to obtain deeper insights on playing conditions and the match outcome. The association among factors such as outcome of toss, playing in a home ground or playing abroad, batting first or batting second, and the match outcome, i.e., win or loss is examined. The outcome of the analysis reveals that Team India has performed well in the last ten years (since 2001 to 2010) as compared to entire period since the team started playing its first match (since 1974 to 2010).