{"title":"ICC World Cup Prediction Based Data Analytics and Business Intelligent (BI) Techniques","authors":"A. Aburas, Muhammed Mehtab, Yusuf Mehtab","doi":"10.1109/CYBERC.2018.00056","DOIUrl":null,"url":null,"abstract":"The ICC 2019 Cricket World Cup is scheduled to be hosted by England and Wales. This research work aims to predict the winner of the 12th version of ICC world cup using Business Intelligent (BI) and K Nearest Neighbors KNN bigdata approach. The research works will start off with business intelligent (BI) case and the Big Data lifecycle. Machine Learning, KNN and R Language will be defined in depth. Then, it will give a detailed to extract all patterns that suitable for machine learning tool to predict the winner. Thereafter, data reduction algorithm will be presented. Additionally, explain in details all steps are taken to achieve the KNN classifications. The source and selected datasets required are given. Finally, the root of this paper, the prediction of the winner of the 2019 ICC Cricket World Cup is declared.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"427 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CYBERC.2018.00056","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The ICC 2019 Cricket World Cup is scheduled to be hosted by England and Wales. This research work aims to predict the winner of the 12th version of ICC world cup using Business Intelligent (BI) and K Nearest Neighbors KNN bigdata approach. The research works will start off with business intelligent (BI) case and the Big Data lifecycle. Machine Learning, KNN and R Language will be defined in depth. Then, it will give a detailed to extract all patterns that suitable for machine learning tool to predict the winner. Thereafter, data reduction algorithm will be presented. Additionally, explain in details all steps are taken to achieve the KNN classifications. The source and selected datasets required are given. Finally, the root of this paper, the prediction of the winner of the 2019 ICC Cricket World Cup is declared.