Journal of Shanghai Jiaotong University

• Automation Technique, Computer Technology • Previous Articles     Next Articles

A Dynamic Framework for TargetGrouping Based onClustering Data Streams

LONG Zhenzhen1,2,ZHANG Ce2,WANG Weiping3,ZHANG Zhengwen4   

  1. (1.School of Information System and Management, National University of Defense Technology,Changsha 410073, China; 2.Equipment Academy of Air Force,Beijing 100085, China;3.Graduate School, National University of Defense Technology, Changsha 410073, China;4.Institute of System Science, Academy of Mathematics and Systems Science,Chinese Academy of Sciences, Beijing 100080,China)
  • Received:2009-07-06 Revised:1900-01-01 Online:2010-07-28 Published:2010-07-28

Abstract: In order to solve the dynamic targetgrouping problem, a framework based on clustering data streams was presented, which can be divided into two parts: online part and offline part. In online part, the concepts of a pyramidal time frame and a temporary storage structure are used; in offline part, CNM algorithm is used to cluster the suitable data. After the experiment, the results show that this framework has good equilibrium between accuracy and efficiency.

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