Applying Association Rule Mining to Analyze the Performance of Indian Cricket Team in T20 Format

7 Pages Posted: 2 Apr 2020

See all articles by Geetanjali Sahi

Geetanjali Sahi

Lal Bahadur Shastri Institute of Management, Delhi

Date Written: April 1, 2020

Abstract

This paper discusses the application of Association Rule Mining for evaluating the performance of Indian Cricket Team specifically in the fastpaced T20 format. Data for the study has been obtained from multiple authentic secondary sources. Further, Indian Team’s performance in the said format is studied and association between relevant data points in cricket such as result of toss, home ground or away ground, order of innings, setting a target or chasing a target, match result has been considered. Knowledge thus gained from the rules aims at helping the stakeholders in devising a match winning approach. The results of the study indicate Indian Team’s upper hand in the T20 format and provides further insights into conditions in which India is likely to perform even better.

Keywords: Data Mining; Association Rule Mining; Apriori Algorithm; Interesting rules; Sports Analytics; Performance analysis; T20 format; Indian Cricket Team

Suggested Citation

Sahi, Geetanjali, Applying Association Rule Mining to Analyze the Performance of Indian Cricket Team in T20 Format (April 1, 2020). Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020, Available at SSRN: https://ssrn.com/abstract=3565907 or http://dx.doi.org/10.2139/ssrn.3565907

Geetanjali Sahi (Contact Author)

Lal Bahadur Shastri Institute of Management, Delhi ( email )

Sector-III, R.K. Puram
New Delhi, Delhi 110022
India

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