|
|
|
| A Dynamic Framework for TargetGrouping Based onClustering Data Streams |
| LONG Zhenzhen1，2，ZHANG Ce2，WANG Weiping3，ZHANG Zhengwen4 |
| (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) |
|
|
|
|
Abstract In order to solve the dynamic targetgrouping problem, a framework based on clustering data streams was presented, which can be divided into two parts: online part and offline part. In online part, the concepts of a pyramidal time frame and a temporary storage structure are used; in offline 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.
|
|
Received: 06 July 2009
Published: 28 July 2010
|
|
|
|
|
|
| No related articles found! |
|
|
|
|
