A Admixture Probability Distributed Clustering Based on WEKA4WS in Grid Environment

摘要：

This paper describes Weka4WS, a framework that extends the widely used open source Weka toolkit to support distributed data mining on WSRF-enabled Grids and have a try at solving the problem of distributed clustering, in addition, introduces the concepts of Admixture Probability, and achieves the distributed clustering algorithm with Weka Library, designs a distributed data mining architecture orientedservices in grid environment combining grid with web services , the implementation of Weka4WS using the VVSRF libraries and services provided by Globus Toolkit 4. Finally it validates the validity of the algorithm and the feasibility of the architecture with the distributed clustering based on WEKA4WS.

关键词： grid weka4ws distributed clustering

作者: Shao rong-ming Zheng Shi-ming Zhang Ying Shao Ze-min

作者单位: Shenyang Artillery Academy of PLA Shenyang, China PLA University of Science and Technology Nanjing, China

会议类型: 国际会议

会议名称: 2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 39-42

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）