Title :
Player valuation in Indian premier league auction using data mining technique
Author :
Kansal, Prince ; Kumar, Pranaw ; Arya, Himanshu ; Methaila, Aditya
Author_Institution :
Maharaja Surajmal Inst. of Technol., New Delhi, India
Abstract :
The Indian Premier League is a new T20 League which completed its inaugural season in 2008. Players´ auctions are not new phenomena in the world of sports. However, in the game of cricket auctioning of players was first time used in Indian Premier League (IPL). No fixed method was used before to evaluate the performance of a player and determining its base price. In this study, we build several predictive models for predicting the selection of a player in the Indian Premier League, a cricket league, based on each player´s past performance. Using One-Day International (ODI) variables and T-20 variables of both batting and bowling, we have found a number of interpretable variables that have explanatory power over auction values. The models that are developed can help decision makers during the auction to set salaries for the players.
Keywords :
data mining; sport; IPL; Indian Premier League auction; ODI variable; T-20 variable; auction value; cricket game; data mining technique; one-day international variable; player performance; player selection; player valuation; Accuracy; Classification algorithms; Data mining; Decision trees; Games; Informatics; Prediction algorithms; Cricket; Data Mining; Decision Tree; IPL; MLP; Naïve Bayes;
Conference_Titel :
Contemporary Computing and Informatics (IC3I), 2014 International Conference on
Conference_Location :
Mysore
DOI :
10.1109/IC3I.2014.7019707
