会议专题

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

2010 3rd IEEE International Conference on Computer Science and Information Technology(第三届IEEE计算机科学与信息技术国际会议 ICCSIT 2010)

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)