Generalized projected clustering in high-dimensional data streams

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

Volumn 3841 LNCS, Issue , 2006, Pages 772-778

  Wang, Ting ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; DATA REDUCTION; PROBLEM SOLVING; REAL TIME SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS);

DATA STREAMS; HIGH-DIMENSIONAL SPACE; PROJECTED CLUSTERING; REAL DATASETS;

DATABASE SYSTEMS;

EID: 33745659451     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11610113_72     Document Type: Conference Paper

References (13)

1. Aggarwal, C.: A Human-Computer Interactive Method for Projected Clustering. In IEEE Transactions on Knowledge and Data Engineering, 7(16), 448-460, 2004.
2. Agrawal, R., Gehrke, J., Gunopulos, D., Raghavan, P.: Automatic Subspace Clustering of High Dimensional Data for Data Mining Application. In Proc. of ACM SIGMOD Conf., 1998.
3. Aggarwal, C., Han, J., Wang, J., Yu, P.: A Framework for Projected Clustering of High Dimensional Data Streams. In Proc. of 30th VLDB Conf., 2004.
4. Aggarwal, C., Han, J., Wang, J., Yu, P.: A Framework for Clustering Evolving Data Streams. In Proc. of VLDB Conf., 2003.
5. Aggarwal, C., Procopiuc, C.: Fast Algorithms for Projected Clustering. In Proc. of ACM SIGMOD Conf., 1999.
6. Aggarwal, C., Yu, P.: Finding Generalized Projected Clusters in High Dimensional Spaces. In Proc. of ACM SIGMOD Conf., 2000.
7. Babcock, B., Babu, S., Datar, M., Motwani, R., Widom, J.: Models and Issues in Data Stream Systems. In Proc. of ACM POD Conf.", 2002.
8. Böhm, C., Kailing, K., Kröger, P., Zimek, A.: Computing Clusters of Correlation Connected Objects. In Proc. of ACM SIGMOD Conf., 2004.
9. Gehrke, J., Korn, F., Srivastava, D.: On Computing Correlated Aggregates Over Continual Data Streams. In Proc. of ACM SIGMOD Conf., 2001.
10. Ng, R., Han, J.: Efficient and Effective Clustering Methods for Spatial Data Mining. In Proc. of VLDB Conf., 1994.
11. Ong, K., Li, W., Ng, W., Lim, E.: SCLOPE: An Algorithm for Clustering Data Streams of Categorical Attributes. In Proc. of DaWak Conf., 2004.
12. Procopiuc, C., Jones, M., Agarwal, P., M, M.: A Monte Carlo Algorithm for Fast Projective Clustering. In Proc. of ACM SIGMOD Conf., 2002.
13. Zhang, T., Ramakrishnan, R., Livny, M.: BIRCH: An Efficient Data Clustering Method for Very Large Databases. In Proc. of ACM SIGMOD Conf., 1996.