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作者机构:Department of Computer ScienceNational Textile UniversityFaisalabadPakistan Faculty of Information and Communication TechnologyUniversiti Tunku Abdul RahmanKampar31900PerakMalaysia Department of Information TechnologyCollege of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Information SystemsKing Abdulaziz UniversityJeddahSaudi Arabia
出 版 物:《Computers, Materials & Continua》 (计算机、材料和连续体(英文))
年 卷 期:2021年第69卷第10期
页 面:1215-1232页
核心收录:
学科分类:08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:This work is financially supported by Universiti Tunku Abdul Rahman,Kampar,Perak,Malaysia The authors also acknowledge Taif university for financial support for this research through the Taif University researchers supporting project(TURSP-2020/231),Taif University,Saudi Arabia
主 题:Online social databases cricket star cricketers prediction machine learning
摘 要:Cricket databases contain rich and useful information to examine and forecasting patterns and *** paper predicts Star Cricketers(SCs)from batting and bowling domains by employing supervised machine learning *** this aim,each player’s performance evolution is retrieved by using effective features that incorporate the standard performance measures of each player and their *** is performed by applying Bayesianrule,function and decision-tree-based *** evaluations are performed to validate the applicability of the proposed *** particular,the impact of the individual features on the prediction of SCs are ***,the category and model-wise feature evaluations are also conducted.A cross-validation mechanism is applied to validate the performance of our proposed approach which further confirms that the incorporated features are statistically ***,leading SCs are extracted based on their performance evolution scores and their standings are cross-checked with those provided by the International Cricket Council.