ICC World Cup Prediction Based Data Analytics and Business Intelligent (BI) Techniques

A. Aburas, Muhammed Mehtab, Yusuf Mehtab
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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.
基于ICC世界杯预测的数据分析和商业智能(BI)技术
2019年板球世界杯将由英格兰和威尔士主办。本研究旨在利用商业智能(BI)和K近邻KNN大数据方法预测第12届ICC世界杯的获胜者。研究工作将从商业智能(BI)案例和大数据生命周期开始。机器学习,KNN和R语言将被深入定义。然后,它将给出一个详细的提取所有适合机器学习工具的模式来预测获胜者。接下来,将介绍数据约简算法。此外,详细解释为实现KNN分类所采取的所有步骤。给出了所需的来源和选定的数据集。最后,本文的根,2019年ICC板球世界杯冠军的预测揭晓。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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