Title :
Research on clustering algoriths of data streams
Author :
Ma Hong ; Kang Jing ; Liu Li-xiong
Author_Institution :
Nat. Digital Switching Syst. Eng. & Tech. Res. Center, Zhengzhou, China
Abstract :
This paper improved the density-based clustering algorithm of data streams and proposed Double Detection Time Strategy The strategy maintained and deleted clusters dynamically. In addition, it preserved potential outlier points with the purpose of high cluster quality and efficiency. Theory and practice show that the improved algorithm possesses good practicality and effectiveness and achieves a higher quality of clustering.
Keywords :
data analysis; data mining; pattern clustering; cluster efficiency; cluster quality; data mining; data streams; density-based clustering algorithm; double detection time strategy; Clustering algorithms; Clustering methods; Data analysis; Data engineering; Data mining; Maintenance engineering; Partitioning algorithms; Shape; Switching systems; Systems engineering and theory; Double Detection Time Strategy; clustering; data mining; data streams; density;
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
DOI :
10.1109/ICIME.2010.5477935
