Integrating data mining with computer games

摘要

Playing computer games for many years has led to a large volume of gaming data that consist of gamers' likings and their playing behavior. Such data can be used by game creators to extract knowledge for enhancing games. Mining computer game data is a new data mining approach that can help in developing games as per a gamer's requirements and his/her area of interest. Since the gaming industry has been contributing to the countries' revenue on a large scale, so improvement in this industry becomes vital. This study aims to apply data mining techniques such as association, classification, and clustering for improving game design, game marketing, and game stickiness monitoring, respectively, to enrich game quality.