The parallel algorithm of Clique and it's application on Data Mining Grid system
Ping Chen, Zhen Liu, Xiuquan Qiao, Xiaoping Tian · 2009
Computing of some parameters using great amount of data is a great challenge in data mining fields so far. DMG (data mining grid) is designed to solve the computing problem. The design of the workflow service in DMG and the distributed data mining algorithm, are investigated. A sample application in telecom field customer value analysis is and illustrated. In the sample application, Clique, which is computed by parallel algorithm on data mining grid system, is an important measure in telecom social network, which benefits to enhance the precise of context-based prediction of the customer value in telecom social network and work out information in expected duration. Telecom operators can take measures to gain more profit.