Improved data stream clustering algorithm over sliding window

Abstract

Keywords:
• sliding window,
• data stream clustering algorithm,
• time decay mechanism

References

1. [1]

   金澈清,钱卫宁,周傲英.流数据分析与管理综述[J].软件学报,2004,15(8):1172.
   

2. [2]

   Guha S,Mishra N,Motwani R,et al.Clustering data streams[C]//Proceedings of 41st Annual Symposium on Foundations of Computer Science,Los Alamitos,CA:IEEE Computer Society Press,2000:359.

3. [3]

   O'Callaghan L,Mishra N,Meyerson A,et al.Streaming data algorithms for high-quality clustering[C]// Proceeding of 18th Internationl Conference on Data Engineering.Los Alamitos,CA:IEEE Computer Society Press,2002:685.

4. [4]

   Aggarwal C C,Han J,Wang J,et al.A framework for clustering evolving data streams[C]//Proceeding of 29th Internationl Conference on Very Large Data Bases,Berlin:Morgan Kaufmann,2003:81.

5. [5]

   周晓云,孙志挥,张柏礼,等.高维数据流子空间聚类发现及维护算法[J].计算机研究与发展,2006,43(5):834.
   

6. [6]

   杨春宇,周杰.一种混合属性数据流聚类算法[J].计算机学报,2007,30(8):1364.
   

7. [7]

   吴枫,仲妍,金鑫,等.滑动窗口内进化数据流任意形状聚类算法[J].小型微型计算机系统,2009,30(5):887.
   

8. [8]

   常建龙,曹锋,周傲英.基于滑动窗口的进化数据流聚类[J].软件学报,2007,18(4):905.
   

9. [9]

   宋宝燕,张衡,于洋,等.基于滑动窗口的支持泛在应用的流聚类挖掘算法[J].小型微型计算机系统,2008,29(12):2262.
   

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