Team Selection Using Statistical and Graphical Approaches for Cricket Fantasy Leagues
- 14 May 2022
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- Increased Prediction Accuracy in the Game of Cricket Using Machine LearningInternational Journal of Data Mining & Knowledge Management Process, 2018
- Network centrality based team formation: A case study on T-20 cricketApplied Computing and Informatics, 2017
- Applications of Modern Classification Techniques to Predict the Outcome of ODI CricketProcedia Computer Science, 2016
- A Consistency Adjusted Measure for the Success of Prediction Methods in CricketInternational Journal of Sports Science & Coaching, 2014
- On Performance Measurement of Cricketers and Selecting an Optimum Balanced TeamInternational Journal of Performance Analysis in Sport, 2014
- Quantifying individual performance in Cricket — A network analysis of batsmen and bowlersPhysica A: Statistical Mechanics and its Applications, 2014
- Prediction of athletes performance using neural networks: An application in cricket team selectionExpert Systems with Applications, 2009
- A method for the comparison of the bowling performances of bowlers in a match or a series of matchesSouth African Journal for Research in Sport, Physical Education and Recreation, 2006
- A measure for the batting performance of cricket players : research articleSouth African Journal for Research in Sport, Physical Education and Recreation, 2004