-
1
-
-
73349121934
-
Density-based clustering of data streams at multiple resolutions
-
L. Wan, W. K. Ng, X. H. Dang, P. S. Yu, and K. Zhang, "Density-based clustering of data streams at multiple resolutions," ACM Transactions Knowledge Discovery Data, vol. 3, no. 3, pp. 1-28, 2009.
-
(2009)
ACM Transactions Knowledge Discovery Data
, vol.3
, Issue.3
, pp. 1-28
-
-
Wan, L.1
Ng, W.K.2
Dang, X.H.3
Yu, P.S.4
Zhang, K.5
-
2
-
-
51349151492
-
-
Los Alamitos, CA, USA: IEEE Computer Society
-
L. O'Callaghan, A. Meyerson, R. Motwani, N. Mishra, and S. Guha, "Streaming-data algorithms for high-quality clustering." Los Alamitos, CA, USA: IEEE Computer Society, 2002, p. 685.
-
(2002)
Streaming-data Algorithms for High-quality Clustering
, pp. 685
-
-
O'Callaghan, L.1
Meyerson, A.2
Motwani, R.3
Mishra, N.4
Guha, S.5
-
3
-
-
0038633423
-
Clustering data streams: Theory and practice
-
June
-
S. Guha, A. Meyerson, N. Mishra, R. Motwani, and L. O'Callaghan, "Clustering data streams: Theory and practice," IEEE Transactions on Knowledge and Data Engineering, vol. 15, no. 3, pp. 515-528, June 2003.
-
(2003)
IEEE Transactions on Knowledge and Data Engineering
, vol.15
, Issue.3
, pp. 515-528
-
-
Guha, S.1
Meyerson, A.2
Mishra, N.3
Motwani, R.4
O'Callaghan, L.5
-
4
-
-
0038205905
-
Requirements for clustering data streams
-
January
-
D. Barbaŕa, "Requirements for clustering data streams," SIGKDD Explor. Newsl., vol. 3, pp. 23-27, January 2002.
-
(2002)
SIGKDD Explor. Newsl
, vol.3
, pp. 23-27
-
-
Barbar'a, D.1
-
5
-
-
85012236181
-
A framework for clustering evolving data streams
-
VLDB Endowment
-
C. C. Aggarwal, J. Han, J. Wang, and P. S. Yu, "A framework for clustering evolving data streams," in Proceedings of the 29th international conference on Very large data bases. VLDB Endowment, 2003, pp. 81-92.
-
(2003)
Proceedings of the 29th International Conference on Very Large Data Bases
, pp. 81-92
-
-
Aggarwal, C.C.1
Han, J.2
Wang, J.3
Yu, P.S.4
-
6
-
-
85170282443
-
A density-based algorithm for discovering clusters in large spatial databases with noise
-
AAAI Press
-
M. Ester, H.-P. Kriegel, J. Sander, and X. Xu, "A density-based algorithm for discovering clusters in large spatial databases with noise," in Proceedings of 2nd International Conference on Knowledge Discovery and Data Mining (KDD). AAAI Press, 1996, pp. 226-231.
-
(1996)
Proceedings of 2nd International Conference on Knowledge Discovery and Data Mining (KDD)
, pp. 226-231
-
-
Ester, M.1
Kriegel, H.-P.2
Sander, J.3
Xu, X.4
-
7
-
-
0003585297
-
-
San Francisco, CA, USA: Morgan Kaufmann Publishers Inc.
-
J. Han, Data Mining: Concepts and Techniques. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc., 2005.
-
(2005)
Data Mining: Concepts and Techniques
-
-
Han, J.1
-
8
-
-
0347172110
-
OPTICS: Ordering points to identify the clustering structure
-
M. Ankerst, M. M. Breunig, H.-P. Kriegel, and J. Sander, "Optics: ordering points to identify the clustering structure," SIGMOD Rec., vol. 28, pp. 49-60, June 1999. (Pubitemid 129597323)
-
(1999)
SIGMOD Record (ACM Special Interest Group on Management of Data)
, vol.28
, Issue.2
, pp. 49-60
-
-
Ankerst, M.1
Breunig, M.M.2
Kriegel, H.-P.3
Sander, J.4
-
9
-
-
85140527321
-
An efficient approach to clustering in large multimedia databases with noise
-
A. Hinneburg and D. A. Keim, "An efficient approach to clustering in large multimedia databases with noise," in KDD, 1998, pp. 58-65.
-
(1998)
KDD
, pp. 58-65
-
-
Hinneburg, A.1
Keim, D.A.2
-
10
-
-
84994158589
-
Sting: A statistical information grid approach to spatial data mining
-
San Francisco, CA, USA: Morgan Kaufmann Publishers Inc.
-
W. Wang, J. Yang, and R. R. Muntz, "Sting: A statistical information grid approach to spatial data mining," in Proceedings of the 23rd International Conference on Very Large Data Bases, ser. VLDB '97. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc., 1997, pp. 186-195.
-
(1997)
Proceedings of the 23rd International Conference on Very Large Data Bases, Ser. VLDB '97
, pp. 186-195
-
-
Wang, W.1
Yang, J.2
Muntz, R.R.3
-
11
-
-
0034133653
-
Wavecluster: A wavelet-based clustering approach for spatial data in very large databases
-
February
-
G. Sheikholeslami, S. Chatterjee, and A. Zhang, "Wavecluster: a wavelet-based clustering approach for spatial data in very large databases," The VLDB Journal, vol. 8, pp. 289-304, February 2000.
-
(2000)
The VLDB Journal
, vol.8
, pp. 289-304
-
-
Sheikholeslami, G.1
Chatterjee, S.2
Zhang, A.3
-
12
-
-
0000835955
-
Optimal grid-clustering: Towards breaking the curse of dimensionality in high-dimensional clustering
-
San Francisco, CA, USA: Morgan Kaufmann Publishers Inc.
-
A. Hinneburg and D. A. Keim, "Optimal grid-clustering: Towards breaking the curse of dimensionality in high-dimensional clustering," in Proceedings of the 25th International Conference on Very Large Data Bases, ser. VLDB '99. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc., 1999, pp. 506-517.
-
(1999)
Proceedings of the 25th International Conference on Very Large Data Bases, Ser. VLDB '99
, pp. 506-517
-
-
Hinneburg, A.1
Keim, D.A.2
-
13
-
-
0032090765
-
Automatic subspace clustering of high dimensional data for data mining applications
-
R. Agrawal, J. Gehrke, D. Gunopulos, and P. Raghavan, "Automatic subspace clustering of high dimensional data for data mining applications," SIGMOD Rec., vol. 27, pp. 94-105, June 1998. (Pubitemid 128655960)
-
(1998)
SIGMOD Record
, vol.27
, Issue.2
, pp. 94-105
-
-
Agrawal, R.1
Gehrke, J.2
Gunopulos, D.3
Raghavan, P.4
-
15
-
-
26944494130
-
An incremental data stream clustering algorithm based on dense units detection
-
J. Gao, J. Li, Z. Zhang, and P.-N. Tan, "An incremental data stream clustering algorithm based on dense units detection," Lecture Notes in Computer Science, vol. 3518, 2005.
-
(2005)
Lecture Notes in Computer Science
, vol.3518
-
-
Gao, J.1
Li, J.2
Zhang, Z.3
Tan, P.-N.4
-
16
-
-
36849092449
-
Density-based clustering for real-time stream data
-
DOI 10.1145/1281192.1281210, KDD-2007: Proceedings of the Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
-
Y. Chen and L. Tu, "Density-based clustering for real-time stream data," in Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, ser. KDD '07. New York, NY, USA: ACM, 2007, pp. 133-142. (Pubitemid 350229200)
-
(2007)
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 133-142
-
-
Chen, Y.1
Tu, L.2
-
17
-
-
56349149463
-
A grid and density-based clustering algorithm for processing data stream
-
Washington, DC, USA: IEEE Computer Society
-
C. Jia, C. Tan, and A. Yong, "A grid and density-based clustering algorithm for processing data stream," in Proceedings of the Second International Conference on Genetic and Evolutionary Computing. Washington, DC, USA: IEEE Computer Society, 2008, pp. 517-521.
-
(2008)
Proceedings of the Second International Conference on Genetic and Evolutionary Computing
, pp. 517-521
-
-
Jia, C.1
Tan, C.2
Yong, A.3
-
18
-
-
73349087457
-
Stream data clustering based on grid density and attraction
-
L. Tu and Y. Chen, "Stream data clustering based on grid density and attraction," ACM Transactions on Knowledge Discovery Data, vol. 3, no. 3, pp. 1-27, 2009.
-
(2009)
ACM Transactions on Knowledge Discovery Data
, vol.3
, Issue.3
, pp. 1-27
-
-
Tu, L.1
Chen, Y.2
-
19
-
-
79952413308
-
Clustering over data streams based on grid density and index tree
-
C. H. Jiadong Ren, Binlei Cai, "Clustering over data streams based on grid density and index tree," Journal of Convergence Information Technology, vol. 6, pp. 83-93, 2011.
-
(2011)
Journal of Convergence Information Technology
, vol.6
, pp. 83-93
-
-
Jiadong Ren, C.H.1
Cai, B.2
-
20
-
-
43249088014
-
Tracking clusters in evolving data streams over sliding windows
-
May
-
A. Zhou, F. Cao, W. Qian, and C. Jin, "Tracking clusters in evolving data streams over sliding windows," Knowledge and Information Systems, vol. 15, pp. 181-214, May 2008.
-
(2008)
Knowledge and Information Systems
, vol.15
, pp. 181-214
-
-
Zhou, A.1
Cao, F.2
Qian, W.3
Jin, C.4
-
21
-
-
78149381013
-
Discovery of frequent patterns in transactional data streams
-
ser. Lecture Notes in Computer Science. Springer Berlin / Heidelberg
-
W. Ng and M. Dash, "Discovery of frequent patterns in transactional data streams," in Transactions on Large-Scale Data-and Knowledge-Centered Systems II, ser. Lecture Notes in Computer Science. Springer Berlin / Heidelberg, 2010, vol. 6380, pp. 1-30.
-
(2010)
Transactions on Large-Scale Data-and Knowledge-Centered Systems II
, vol.6380
, pp. 1-30
-
-
Ng, W.1
Dash, M.2
|