Clique并行算法及其在数据挖掘网格系统中的应用

Ping Chen, Zhen Liu, Xiuquan Qiao, Xiaoping Tian
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引用次数: 0

摘要

使用大量数据计算某些参数是目前数据挖掘领域的一大难题。DMG (Data Mining Grid)是为了解决计算问题而设计的。研究了DMG中工作流服务的设计和分布式数据挖掘算法。并举例说明了在电信领域客户价值分析中的应用实例。在示例应用中,在数据挖掘网格系统上采用并行算法计算的Clique是电信社交网络中的一项重要度量,它有利于提高基于上下文的电信社交网络客户价值预测的精度,并计算出预期持续时间内的信息。电信运营商可以采取措施获得更多的利润。
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The parallel algorithm of Clique and it's application on Data Mining Grid system
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.
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