Expert System for Ice Hockey Game Prediction: Data Mining with Human Judgment

被引：21

作者：

Gu, Wei ^{[1
]}

Saaty, Thomas L. ^{[2
]}

Whitaker, Rozann ^{[3
]}

机构：

[1] Univ Sci & Technol Beijing, Donlinks Sch Econ & Management, Beijing 100083, Peoples R China

[2] Univ Pittsburgh, Joseph M Katz Grad Sch Business, Pittsburgh, PA 15206 USA

[3] Creat Decis Fdn, Pittsburgh, PA 15213 USA

来源：

INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING | 2016年 / 15卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Prediction; expert system; hockey game; data analysis; judgment;

D O I：

10.1142/S0219622016400022

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes an expert system to predict National Hockey League (NHL) game outcome. A new method based on both data and judgments is used to estimate the hockey game performance. There are many facts and judgments that could influence an outcome. We employed the support vector machine to determine the importance of these factors before we incorporate them into the prediction system. Our system combines data and judgments and used them to predict the win-lose outcome of all the 89 post-season games before they took place. The accuracy of our prediction with the combined factors was 77.5%. This is to date the best accuracy reported of hockey games prediction.

引用

页码：763 / 789

页数：27

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