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

机译:关联规则挖掘的应用:以印度队为例

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摘要

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).
机译:本文将关联规则挖掘算法应用于体育管理中,尤其是从印度板球队在一日国际(ODI)比赛中的表现数据中挖掘关系。该分析将有助于确定与比赛结果相关的因素,从而使团队能够制定比赛获胜策略。数据已从辅助来源获得,以获取有关比赛条件和比赛结果的更深入的见解。检查诸如掷球的结果,在本国打球或在国外打球,首先击球或第二次击球以及比赛结果(即胜利或失败)等因素之间的关联。分析结果表明,印度队在过去十年中(自2001年至2010年)表现良好,而自该队开始进行首场比赛(自1974年至2010年)以来的整个时期相比。

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