-
1
-
-
85012236181
-
A framework for clustering evolving data streams
-
Aggarwal, C. C., Han, J., Wang, J., and Yu, P. S. 2003. A framework for clustering evolving data streams. In Proceedings of the International Conference on Very Large Databases (VLDB). 81-92.
-
(2003)
Proceedings of the International Conference on Very Large Databases (VLDB)
-
-
Aggarwal, C.C.1
Han, J.2
Wang, J.3
Yu, P.S.4
-
2
-
-
33646164394
-
Clustering distributed data streams in peer-to-peer environments
-
Bandyopadhyay, S., Giannella, C., Maulik, U., Kargupta, H., Liu, K., and Datta, S. 2006. Clustering distributed data streams in peer-to-peer environments. Inform. Sci. 176, 14, 1952-1985.
-
(2006)
Inform. Sci.
, vol.176
, Issue.14
-
-
Bandyopadhyay, S.1
Giannella, C.2
Maulik, U.3
Kargupta, H.4
Liu, K.5
Datta, S.6
-
3
-
-
0038205905
-
Requirements for clustering data streams
-
Barbarü, D. 2002. Requirements for clustering data streams. SIGKDD Explor. Newslett. 3, 2, 23-27.
-
(2002)
SIGKDD Explor. Newslett.
, vol.3
, Issue.2
-
-
Barbarü, D.1
-
4
-
-
33646933601
-
Online clustering of parallel data streams
-
Beringer, J. and Hüllermeier, E. 2006. Online clustering of parallel data streams. Data Knowl. Engin. 58, 2, 180-204.
-
(2006)
Data Knowl. Engin.
, vol.58
, Issue.2
-
-
Beringer, J.1
Hüllermeier, E.2
-
5
-
-
31544433799
-
OLAPing stream data: Is it feasiblequest
-
ACM SIGMOD
-
Chen, Y., Dong, G., Han, J., Pei, J., Wah, B. W., and Wang, J. 2002. OLAPing stream data: Is it feasiblequest; In Proceedings of the Workshop on Research Issues in Data Mining and Knowledge Discovery, ACM SIGMOD. 53-58.
-
(2002)
Proceedings of the Workshop on Research Issues in Data Mining and Knowledge Discovery
-
-
Chen, Y.1
Dong, G.2
Han, J.3
Pei, J.4
Wah, B.W.5
Wang, J.6
-
7
-
-
33746916086
-
Adapative clustering for multiple evolving streams
-
Dai, B., Huang, J., Yeh, M., and Chen, M. 2006. Adapative clustering for multiple evolving streams. IEEE Trans. Knowl. Data Engin. 18, 9.
-
(2006)
IEEE Trans. Knowl. Data Engin.
, vol.18
-
-
Dai, B.1
Huang, J.2
Yeh, M.3
Chen, M.4
-
8
-
-
10044238664
-
Mining frequent patterns in data streams at multiple-time granularities
-
Giannella, C., Han, J., Pei, J., Yan, X., and Yu, P. S. 2003. Mining frequent patterns in data streams at multiple-time granularities. Next Gen. Data Min., 191-212.
-
(2003)
Next Gen. Data Min.
-
-
Giannella, C.1
Han, J.2
Pei, J.3
Yan, X.4
Yu, P.S.5
-
9
-
-
0005308437
-
Surfing wavelets on streams: One-pass summaries for approximate aggregate queries
-
Gilbert, A., Kotidis, Y., Muthukrishnan, S., and Strauss, M. 2001. Surfing wavelets on streams: One-pass summaries for approximate aggregate queries. In Proceedings of the International Conference on Very Large Databases (VLDB).
-
(2001)
Proceedings of the International Conference on Very Large Databases (VLDB)
-
-
Gilbert, A.1
Kotidis, Y.2
Muthukrishnan, S.3
Strauss, M.4
-
10
-
-
2442617843
-
Issues in Data Stream Management
-
Golab, L. and Özsu, M. T. 2003. Issues in Data Stream Management. SIGMOD Record 32, 2, 5-14.
-
(2003)
SIGMOD Record
, vol.32
-
-
Golab, L.1
Özsu, M.T.2
-
11
-
-
0038633423
-
Clustering data streams: Theory and practice
-
Guha, S., Meyerson, A., Mishra, N., Motwani, R., and O'Callaghan, L. 2003. Clustering data streams: Theory and practice. Trans. Knowl. Engin. 15, 3, 515-528.
-
(2003)
Trans. Knowl. Engin.
, vol.15
, Issue.3
-
-
Guha, S.1
Meyerson, A.2
Mishra, N.3
Motwani, R.4
O'Callaghan, L.5
-
12
-
-
0034514004
-
Clustering data streams
-
Guha, S., Mishra, N., Motwani, R., and O'Callaghan, L. 2000. Clustering data streams. In Proceedings of the Annual IEEE Symposium on Foundations of Computer Science.
-
(2000)
Proceedings of the Annual IEEE Symposium on Foundations of Computer Science
-
-
Guha, S.1
Mishra, N.2
Motwani, R.3
O'Callaghan, L.4
-
14
-
-
33646354141
-
A framework for mining evolving trends in Web data streams using dynamic learning and retrospective validation
-
Nasraoui, O., Rojas, C., and Cardona, C. 2006. A framework for mining evolving trends in Web data streams using dynamic learning and retrospective validation. Comput. Netw. 50, 10, 1488-1512.
-
(2006)
Comput. Netw.
, vol.50
, Issue.10
-
-
Nasraoui, O.1
Rojas, C.2
Cardona, C.3
-
15
-
-
0036203413
-
Streaming-data algorithms for high-quality clustering
-
O'Callaghan, L., Mishra, N., Meyerson, A., Guha, S., and Motwani, R. 2002. Streaming-data algorithms for high-quality clustering. In Proceedings of the International Conference on Data Engineering (ICDE).
-
(2002)
Proceedings of the International Conference on Data Engineering (ICDE)
-
-
O'Callaghan, L.1
Mishra, N.2
Meyerson, A.3
Guha, S.4
Motwani, R.5
-
16
-
-
33846017643
-
Intrusion detection-based on on clustering a data stream
-
Management and Applications
-
Oh, S., Kang, J., Byun, Y., Park, G., and Byun, S. 2005. Intrusion detection-based on on clustering a data stream. In Proceedings of the 3rd ACIS International Conference on Software Engineering Research, Management and Applications.
-
(2005)
Proceedings of the 3rd ACIS International Conference on Software Engineering Research
-
-
Oh, S.1
Kang, J.2
Byun, Y.3
Park, G.4
Byun, S.5
-
17
-
-
22044455069
-
Density-based clustering in spatial databases: The algorithm gdbscan and its applications
-
Sander, J., Ester, M., Kriegel, H., and Xu, X. 1998. Density-based clustering in spatial databases: The algorithm gdbscan and its applications. Data Min. Knowl. Discov. 2, 2, 169-194.
-
(1998)
Data Min. Knowl. Discov.
, vol.2
, Issue.2
-
-
Sander, J.1
Ester, M.2
Kriegel, H.3
Xu, X.4
-
18
-
-
35248830261
-
Online outlier detection in sensor data using non-parametric models
-
Subramaniam, S., Palpanas, T., Papadopoulos, D., Kalogeraki, V., and Gunopulos, D. 2006. Online outlier detection in sensor data using non-parametric models. In Proceedings of the International Conference on Very Large Databases (VLDB).
-
(2006)
Proceedings of the International Conference on Very Large Databases (VLDB)
-
-
Subramaniam, S.1
Palpanas, T.2
Papadopoulos, D.3
Kalogeraki, V.4
Gunopulos, D.5
-
19
-
-
27144549848
-
S-tree: An effective index for clustering arbitrary shapes in data streams
-
Sun, H., Yu, G., Bao, Y., Zhao, F., and Wang, D. 2005. S-tree: An effective index for clustering arbitrary shapes in data streams. In Proceedings of the 15th International Workshop on Research Issues in Data Engineering: Stream Data Mining and Applications.
-
(2005)
Proceedings of the 15th International Workshop on Research Issues in Data Engineering: Stream Data Mining and Applications
-
-
Sun, H.1
Yu, G.2
Bao, Y.3
Zhao, F.4
Wang, D.5
-
20
-
-
33749559199
-
Suppressing model overfitting in mining concept-drifting data streams
-
Wang, H., Yin, J., Pei, J., Yu, P. S., and Xu, J. X. 2006. Suppressing model overfitting in mining concept-drifting data streams. In Proceedings of the International Conference on Knowledge Discovery and Data Mining (SIGKDD).
-
(2006)
Proceedings of the International Conference on Knowledge Discovery and Data Mining (SIGKDD)
-
-
Wang, H.1
Yin, J.2
Pei, J.3
Yu, P.S.4
Xu, J.X.5
-
21
-
-
33645632003
-
Clustering data streams on the two-tier structure
-
Wang, Z., Wang, B., Zhou, C., and Xu, X. 2004. Clustering data streams on the two-tier structure. Advanced Web Technologies and Applications, 416-425.
-
(2004)
Advanced Web Technologies and Applications
-
-
Wang, Z.1
Wang, B.2
Zhou, C.3
Xu, X.4
-
22
-
-
27744489908
-
Efficient stream text clustetring
-
Zhong, S. 2005. Efficient stream text clustetring. Neural Netw., 790-798
-
(2005)
Neural Netw.
-
-
Zhong, S.1
|