A fast subspace partition clustering algorithm for high dimensional data streams

Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009

Volumn 1, Issue , 2009, Pages 491-495

  Zhang, Zhongping ^a   Wang, Hao ^a  

^a YANSHAN UNIVERSITY   (China)

Author keywords

CD tree lattice structure; Clustering; Data mining; Data streams; Subspace partition

Indexed keywords

ARBITRARY SHAPE; CLUSTERING DATA; CLUSTERING QUALITY; DATA STREAM; DATA STREAM CLUSTERING; DATA STREAM MINING; HIGH DIMENSIONAL DATA; LATTICE STRUCTURES; MICRO-CLUSTERS; OFFLINE; ONLINE COMPONENTS; PARTITION CLUSTERING; RESEARCH PROBLEMS;

DATA COMMUNICATION SYSTEMS; DATA MINING; HYDRAULICS; INTELLIGENT COMPUTING; INTELLIGENT SYSTEMS;

CLUSTERING ALGORITHMS;

EID: 77949572517     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICISYS.2009.5357796     Document Type: Conference Paper

References (9)

1. B. Babcock, S. Babu, M. Datar et al. "Models and Issues in Data Stream System". Proceedings of the ACM SIGACT-SIGMODSIGART Symposium on Principles of Database Systems, 2002, pp. 1-16.
2. S. Muthukrishnan. "Data Streams: Algorithms and Applications". Foundations and Trends in Theoretical Computer Science, 2005, 1(2), pp. 117-236.
3. S. Guha, A. Meyerson, N. Mishra, et al. "Clustering Data Streams: Theory and Practice". IEEE Transactions on Knowledge and Data Engineering, 2003, 15(3), pp. 515-528.
4. C. C. Aggarwal, J. Han, J. Wang, et al. "A Framework for Clustering Evolving Data Streams". Proceedings of the 29th International Conference on Very Large Data Bases Conference, 2003, pp. 81-92.
5. C. C. Aggarwal, J. Han, J. Wang, et al. "A Framework for Projected Clustering of High Dimensional Data Streams". Proceedings of the 30th International Conference on Very Large Data Bases, 2004, pp. 852-863.
6. F. Cao, M. Ester, W. Qian and A. Zhou. "Density-based Clustering over an Evolving Data Stream with Noise". Proceedings of the Sixth SIAM International Conference on Data Mining, 2006, pp. 328-339.
7. Y. Chen, L. Tu. "Density-based Clustering for Real-time Stream Data". Proceedings of the Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,2007, pp. 133-142.
8. S. Wang, Y. Fan, C. Zhang, et al. "Subspace Clustering of High Dimensional Data Streams". Proceedings of the 7th International Conference on Computer and Information Science, 2008, pp. 165-170.
9. H. Sun, Y. Ge, Y. Bao, et al. "CDS-Tree: An effective index for clustering arbitrary shapes in data streams". Proceedings of the 15th International Workshop on Research Issues in Data Engineering, 2005, pp. 81-88.