A Review of Data Mining Techniques for Result Prediction in Sports
سال انتشار: 1392
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 945
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شناسه ملی سند علمی:
JR_ACSIJ-2-5_002
تاریخ نمایه سازی: 24 فروردین 1393
چکیده مقاله:
In the current world, sports produce considerable statistical information about each player, team, games, and seasons. Traditional sports science believed science to be owned byexperts, coaches, team managers, and analyzers. However, sports organizations have recently realized the abundant scienceavailable in their data and sought to take advantage of that science through the use of data mining techniques. Sports data mining assists coaches and managers in result prediction, player performance assessment, player injury prediction, sports talent identification, and game strategy evaluation. The present study reviews previous research on data mining systems to predict sports results and evaluates the advantages and disadvantages of each system.
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نویسندگان
Maral Haghighat
Faculty of Computer Science, Islamic Azad University Najafabad Branch, Esfahan, Iran
Hamid Rastegari
Faculty of Computer Science, Islamic Azad University Najafabad Branch, Esfahan, Iran
Nasim Nourafza
Faculty of Computer Science, Islamic Azad University Najafabad Branch, Esfahan, Iran