Clustering over data streams based on grid density and index tree

Journal of Convergence Information Technology

Volumn 6, Issue 1, 2011, Pages 83-93

  Ren, Jiadong ^a   Cai, Binlei ^a   Hu, Changzhen ^b  

^a YANSHAN UNIVERSITY   (China)

^b BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Clustering; Data streams; Grid density; Index tree

Indexed keywords

CLUSTERING; CLUSTERING DATA; CLUSTERING QUALITY; DATA RECORDS; DATA STREAM; DATA STREAMS; DENSITY THRESHOLD; GRID CELLS; GRID DENSITY; GRID-BASED; HIGH DIMENSIONAL DATA; INDEX TREE; INDEX TREES; INITIAL STAGES; NEW INDICES; PRUNING STRATEGY; REAL TIME; REMOVE NOISE;

CLUSTERING ALGORITHMS; DATA COMMUNICATION SYSTEMS; HYDRAULICS;

TREES (MATHEMATICS);

EID: 79952413308     PISSN: 19759320     EISSN: None     Source Type: Journal    
DOI: 10.4156/jcit.vol6.issue1.11     Document Type: Article

References (11)

1. J. Gama, P. Rodrigues, An Overview on Mining Data Streams, Springer-Verlag Berlin Heid- elberg, pp. 29-45, 2009.
2. S. Guha, N. Mishra, R. Motwani, Clustering data streams, Proceeding(s) of 41st Annual Symposium on Foundations of Computer Science, Los Alamitos, CA:IEEE Computer Society Press, pp. 359-366, 2000.
3. L. O'Callaghan, N. Mishra, A. Meyerson, Streaming data algorithms for high-quality clustering, Proceeding(s) of 18th Int'l Conf. Data Engineering, Los Alamitos, CA:IEEE Computer Society Press, pp. 685-704, 2002.
4. C. Aggarwal, J. Han, J. Wang and P. Yu, A Framework for Clustering Evolving Data Streams, Proceeding(s) of the 29th VLDB Conference, Berlin, Germany, pp. 81-92, 2003.
5. C. Aggarwal, J. Han, J. Wang, P. Yu, A Framework for Projected Clustering of High Dimensional Data Streams, Proceeding(s) of the 30th VLDB Conference, Toronto, Canada,pp. 852-863, 2004.
6. J. Chang, F. Cao, A. Zhou, Clustering Evolving Data Streams over Sliding Windows, Journal of Software, vol. 18, no. 4, pp. 905-918, 2007.
7. K. Udommanetanakit, T. Rakthanmanon, K. Waiyamai, E-Stream: Evolution-Based Technique for Stream Clustering, Springer-Verlag Berlin Heidelberg, pp. 605-615, 2007.
8. J. Ren, C. Hu, R. Ma, HCluWin: An Algorithm for Clustering Heterogene- ous Data Streams over Sliding Windows, Proc. International Journal of Innovative Computing, Information and Control, vol. 6, no. 5, pp. 2171-2179, 2010.
9. F. Cao, M. Ester, W. Qian, A. Zhou, Density-Based Clustering over an Evolving Data Stream with Noise, Proceeding(s) of the SIAM Conference on Data Ming, Bethesda, MD, pp. 326-337, 2006.
10. Y. Chen, L. Tu, Density-Based Clustering for Real-Time Stream Data, Proceeding(s) of the ACM SIGKDD 2007 Conference, California, USA, pp. 133-142, 2007.
11. J. Ren, B. Cai, C. Hu, Clustering Over an Evolving Data Stream Based on Grid Density and Correlation, ICIC Express Letters, vol. 4, no 5(A), pp. 1603-1609, 2010.