A Study on Machine Learning Methods Used for Team Formation and Winner Prediction in Cricket
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-33-4305-4_12
Reference24 articles.
1. Swartz TB (2017) Research directions in cricket. In: Handbook of statistical methods analysis sport, pp. 445–460. https://doi.org/10.1201/9781315166070
2. Passi K, Pandey N (2018) Increased prediction accuracy in the game of cricket using machine learning. Int J Data Min Knowl Manage Process (IJDKP) 8:19–36. https://doi.org/10.5121/ijdkp.2018.8203
3. Saikia H, Bhattacharjee D, Radhakrishnan UK (2017) A new model for player selection in cricket. Int J Perform Anal Sport 16:373–388. https://doi.org/10.1080/24748668.2016.11868893
4. Ahmad H, Daud A, Wang L, Hong H, Dawood H, Yixian Y (2017) Prediction of rising stars in the game of cricket. IEEE Access 5:4104–4124. https://doi.org/10.1109/ACCESS.2017.2682162
5. Pathak N, Wadhwa H (2016) Applications of modern classification techniques to predict the outcome of ODI cricket. Procedia Comput Sci 87:55–60. https://doi.org/10.1016/j.procs.2016.05.126
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Cricket data analytics: Forecasting T20 match winners through machine learning;International Journal of Knowledge-based and Intelligent Engineering Systems;2023-12-21
2. Game Statistics Forecast Based on Sports Using Machine Learning;2023 International Conference on Circuit Power and Computing Technologies (ICCPCT);2023-08-10
3. An efficient team prediction for one day international matches using a hybrid approach of CS-PSO and machine learning algorithms;Array;2022-07
4. Sustainable Consumption: An Approach to Achieve the Sustainable Environment in India;Intelligent Sustainable Systems;2022
5. Game Rules Prediction – Winning Strategies Using Decision Tree Algorithms;Communications in Computer and Information Science;2022
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3