A grid-based clustering algorithm for high-dimensional data streams

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3584 LNAI, Issue , 2005, Pages 824-831

  Lu, Yansheng ^a   Sun, Yufen ^a   Xu, Guiping ^a   Liu, Gang ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER NETWORKS; DATA PROCESSING; DATA STORAGE EQUIPMENT; DATA STRUCTURES; HEURISTIC METHODS; ONLINE SYSTEMS;

CLUSTERING ALGORITHM; GRID DATA STRUCTURE;

DATABASE SYSTEMS;

EID: 26944450019     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11527503_97     Document Type: Conference Paper

References (15)

1. th International Conference on Data Engineering, 2002
2. Wang, Z. et al., Clustering Data Streams on the Two-Tier Structure. The Sixth Asia Pacific Web Conference, 2004
3. th VLDB Conference, 2003
4. th VLDB Conference, 2004
5. Han, J. and Kamber, M. Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers, 2001
6. Guha, S. et al., Clustering Data Streams: Theory and Practice. IEEE Transactions on Knowledge and Data Engineering, 2003, 15 (3): 515-528
7. Barbara, D. Requirements for Clustering Data Streams. ACM SIGKDD Explorations Newsletter, 2002, 3 (2): 23-27
8. Zhang, T., Ramakrishnan, R. and Livny, M. BIRCH: An Efficient Data Clustering Method for Very Large Databases. Proc. of the 1996 ACM SIGMOD International Conference on Management of Data, 1996
9. th VLDB Conference, 1998
10. Sheikholeslami, G., Chatterjee, S. and Zhang, A. WaveCluster: A Wavelet-Based Clustering Approach for Spatial Data in Very Large Databases. The VLDB Journal, 2000, 8 (3-4): 289-304
11. Procopiuc, C. M. et al., A Monte Carlo Algorithm for Fast Projective Clustering. Proc. ACM SIGMOD Int. Conf. On Management of Data (SIGMOD'02), 2002
12. Agrawal, R. et al., Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications. Proc. ACM SIGMOD Int. Conf. On Management of Data (SIGMOD'98), 1998
13. Aggrawal, C. C. et al., Fast Algorithms for Projected Clustering. Proc. ACM SIGMOD Int. Conf. On Management of Data (SIGMOD'99), 1999
14. th IEEE Int. Conf. On Data Mining (ICDM'04), 2004
15. Horn, B. K. P. Robot Vision. The MIT Press, 1986