The Popularity of Movies Predict System based on Data Mining Technology for CDN
In order to guide the strategy of distributing movies on the CDN system, this paper proposes a method which uses data mining techniques to predict the popularity of movies. The popularity of movies which is predicted is more suitable to the current CDN system. We compare the performance of the Bayesian Network and Decision Tree, and find that the Bayesian Network model is more suitable to CDN.
CDN data mining Bayesian Network Decision Tree popularity streched exponential model
Yao Shijia Zhu Liuzhang Zhu Ming
Department of Automation,USTC Hefei, China Anhui Electric Power Jiyuan Software Co.Ltd Hefei, China
国际会议
成都
英文
604-607
2010-07-07(万方平台首次上网日期,不代表论文的发表时间)