THE DESIGN OF ARCHITECTURE, WORKFLOW,ALGORITHM ON GRID SYSTEM FOR SOCIAL NETWORK CONTEXT PREDICTION ANALYSIS
In Telecom Social Network, the Context-based Prediction Analysis is an important topic, and computing of some context parameters using great amount of data is a problem so far. Architecture of DMG (Data Mining Grid) is proposed and prototype of MDG is designed to solve the computing problem. Two of the important issues in DMG, which are the design of the workflow service in DMG and the distributed data mining algorithm, are investigated. Finally a sample application in telecom field Customer Churn Context Prediction Analysis is investigated and illustrated. In the sample application, Centrals, which is computed by parallel algorithm on DMG, is an important measure in Telecom Social Network. And it is an important context parameter proved by the experiment, which benefits to enhance the precise of context-based prediction of the customer churn in telecom social network.
Centrality Telecom Social Network Data Mining Grid Contezt Prediction
Ping Chen Xiuquan Qiao Zhen Liu Xiaoping Tian
Center of Information and Network Technology, Beijing Normal University , Beijing 100875, China State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecom
国际会议
北京
英文
452-455
2009-11-06（万方平台首次上网日期，不代表论文的发表时间）