DocumentCode :
3395042
Title :
Application of Association Rule Mining: A case study on team India
Author :
Raj, K.A.A.D. ; Padma, P.
Author_Institution :
Dept. of Manage. Studies, IIT Madras, Chennai, India
fYear :
2013
fDate :
4-6 Jan. 2013
Firstpage :
1
Lastpage :
6
Abstract :
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).
Keywords :
data mining; sport; Indian cricket team; Team India; association rule mining algorithm; match winning strategies; one day international matches; sports management; Algorithm design and analysis; Association rules; Australia; Computers; Databases; Informatics; Association rules; Interesting rules; Sports management; Team India; rule mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Communication and Informatics (ICCCI), 2013 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4673-2906-4
Type :
conf
DOI :
10.1109/ICCCI.2013.6466294
Filename :
6466294
Link To Document :
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