Title :
The popularity of movies predict system based on data mining technology for CDN
Author :
Shijia, Yao ; Liuzhang, Zhu ; Ming, Zhu
Author_Institution :
Dept. of Autom., USTC, Hefei, China
Abstract :
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.
Keywords :
Bayes methods; data mining; decision trees; Bayesian network; CDN; data mining technology; decision tree; Bayesian Network; CDN; Decision Tree; data mining; popularity; streched exponential model;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5564632
