System for performing T20 cricket analysis, has machine learning framework that processes historical cricket data using elbow method, K-means clustering, and random forest algorithms integrated with power BI for interactive visualization
	KUMAR P; TYAGI H; CHOUDHARY S; YADAV S; VERMA H
	2025-03-30
专利权人	KUMAR P (KUMA-Individual) ; TYAGI H (TYAG-Individual) ; CHOUDHARY S (CHOU-Individual) ; YADAV S (YADA-Individual) ; VERMA H (VERM-Individual) ; MEERUT ENG & TECHNOLOGY INST (MEER-Non-standard)
申请日期	2025-03-30
专利号	IN202511031433-A
成果简介	NOVELTY - The system has a machine learning framework that processes historical cricket data using an elbow method, K-means clustering, and random forest algorithms, and integrated with power BI for interactive visualization, to predict player performance and categorize players with an accuracy of 94 percent. An elbow method determines optimal number of clusters by minimizing within-cluster sum of squares (WCSS). A random forest algorithm employs multiple decision trees to predict match outcomes and player contributions, for reducing overfitting. The power BI generates dynamic dashboards displaying cluster results and predictive insights for strategic planning. USE - System for performing T20 cricket analysis for team selection, strategy formulation, and player development for aiding franchise management in strategic planning e.g. opposition analysis and match simulations. ADVANTAGE - The method enables enhancing T20 cricket team selection by identifying top-performing players and optimal team compositions based on predictive analytics, supporting coaches in developing tailored training programs by uncovering player strengths and weaknesses through performance clustering, and aiding franchise management in strategic planning such as opposition analysis and match simulations, using visualized data insights. DETAILED DESCRIPTION - An INDEPENDENT CLAIM is also included for a method for analyzing T 20 cricket performance.
IPC 分类号	A63B-102/20 ; G06F-018/23213 ; G06N-020/00 ; G06N-005/01 ; G06Q-010/0637
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13316
专题	中国科学院新疆生态与地理研究所
作者单位	1.KUMAR P (KUMA-Individual) 2.TYAGI H (TYAG-Individual) 3.CHOUDHARY S (CHOU-Individual) 4.YADAV S (YADA-Individual) 5.VERMA H (VERM-Individual) 6.MEERUT ENG & TECHNOLOGY INST (MEER-Non-standard)
推荐引用方式 GB/T 7714	KUMAR P,TYAGI H,CHOUDHARY S,et al. System for performing T20 cricket analysis, has machine learning framework that processes historical cricket data using elbow method, K-means clustering, and random forest algorithms integrated with power BI for interactive visualization. IN202511031433-A[P]. 2025.

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