Clustering high dimensional data streams at multiple time granularities

Xiao Long Yan, Hong Shen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we extend our DGStream (Dense Grid-tree based data stream clustering) method which is developed recently [14] and propose a new method DGMStream (Dense Grid-tree based multiple time granularity adaptable data stream clustering) to cluster dynamic data streams. In DGMStream, we incorporate the technique of tilted time window in DGStream to find clusters for data streams over multiple time granularities. Implementation results show that this method has a better cluster purity and scalability than other methods.

Original languageEnglish
Title of host publication2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008
Pages2458-2463
Number of pages6
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008 - Singapore, Singapore
Duration: 3 Jun 20085 Jun 2008

Publication series

Name2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008

Conference

Conference2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008
Country/TerritorySingapore
CitySingapore
Period3/06/085/06/08

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