Title :
Evaluation of IPL teams and players using association, correlation and classification rules
Author :
Jayant Prakash;Mayank Khandelwal;Tribikram Pradhan
Author_Institution :
Manipal Univ., Manipal, India
Abstract :
Before the auction the teams have the liberty to retain some of its previously selected players and the rest of the players can be selected via auction. Initially, all owners of the teams have the same limited amount of funds to build their team. The more the players an owner retains, the less funds the owner would have to take to the auction. Hence, the decision of retaining players has to be perfect for an optimal selection for retaining players as well as selection of player in the auction. We analyze the requirement of the structure of the team, based on voids created due to the players left after the selective retaining process. For an optimal decision making in the auction, we define the size and type of voids, which helps the owner buy the best combination of players in the auction. Our method attempts to ensure that the owner is aware to his next steps clearly, if s/he buys a player in the auction and direct their resources to buy specifically those players that will fill the void in the team.
Keywords :
"Conferences","Computers","Correlation","Bayes methods","Classification algorithms","Decision making","Correlation coefficient"
Conference_Titel :
Computer, Communication and Control (IC4), 2015 International Conference on
DOI :
10.1109/IC4.2015.7375670