期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：9
页码：14921
DOI：10.15680/IJIRCCE.2017.0509006
出版社：S&S Publications
摘要：Predictive systems have been employed to predict events and results in virtually all walks of life.Football goal scorer prediction in particular has gained popularity in recent years. Statistical approaches have showncomplex and low prediction results. Our main objective of this paper is to develop a goal predictor using data miningtechniques without any human intelligence and intuition. We constructed a more comprehensive system with animproved prediction accuracy by using the features that directly can predict the numbers of goals scored by a particularplayer by using the various attributes needed to determine that. Our prediction system for predicting the goal scorer wasimplemented using linear regression with Weka as a data mining tool. The technique yielded 85% - 93% predictionaccuracy for linear regression technique. With this output, it is observed that the prediction accuracy is higher thanthose of existing systems.
关键词：Linear Regression; Weka; [1] Correlation Evaluation; weighted average algorithm.
