-
1
-
-
85012236181
-
A framework for clustering evolving data streams
-
VLDB Endowment
-
Aggarwal, C.C., Han, J., Wang, J., Yu, P.S.: A framework for clustering evolving data streams. In: VLDB 2003: Proceedings of the 29th international conference on Very large data bases, pp. 81-92. VLDB Endowment (2003).
-
(2003)
VLDB 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
-
4
-
-
0039253819
-
Lof: Identifying density-based local outliers
-
Breunig, M.M., Kriegel, H.-P., Ng, R.T., Sander, J.: Lof: identifying density-based local outliers. SIGMOD Rec. 29(2), 93-104 (2000).
-
(2000)
SIGMOD Rec.
, vol.29
, Issue.2
, pp. 93-104
-
-
Breunig, M.M.1
Kriegel, H.-P.2
Ng, R.T.3
Sander, J.4
-
5
-
-
78650472125
-
-
Cao, H., Zhou, Y., Shou, L., Chen, G.: Attribute outlier detection over data streams, 9 (2009), http://db.zju.edu.cn/wiki/index.php/Hui-Cao.
-
(2009)
Attribute Outlier Detection over Data Streams
, vol.9
-
-
Cao, H.1
Zhou, Y.2
Shou, L.3
Chen, G.4
-
7
-
-
0038633423
-
Clustering data streams: Theory and practice
-
Guha, S., Meyerson, A., Mishra, N., Motwani, R., O'Callaghan, L.: Clustering data streams: Theory and practice. IEEE Trans. Knowl. Data Eng. 15(3), 515-528 (2003).
-
(2003)
IEEE Trans. Knowl. Data Eng.
, vol.15
, Issue.3
, pp. 515-528
-
-
Guha, S.1
Meyerson, A.2
Mishra, N.3
Motwani, R.4
O'Callaghan, L.5
-
8
-
-
0035336998
-
Two-phase clustering process for outliers detection
-
Jiang, M.-F., Tseng, S.-S., Su, C.-M.: Two-phase clustering process for outliers detection. Pattern Recognition Letters 22(6/7), 691-700 (2001).
-
(2001)
Pattern Recognition Letters
, vol.22
, Issue.6-7
, pp. 691-700
-
-
Jiang, M.-F.1
Tseng, S.-S.2
Su, C.-M.3
-
9
-
-
85170286889
-
A unified notion of outliers: Properties and computation
-
Knorr, E.M., Ng, R.T.: A unified notion of outliers: Properties and computation. In: KDD, pp. 219-222 (1997).
-
(1997)
KDD
, pp. 219-222
-
-
Knorr, E.M.1
Ng, R.T.2
-
11
-
-
52649164527
-
Correlation-based attribute outlier detection in XML
-
Koh, J.L.Y., Lee, M.-L., Hsu, W., Ang, W.T.: Correlation-based attribute outlier detection in XML. In: ICDE 2008: Proceedings of the 24th International Conference on Data Engineering, pp. 1522-1524 (2008).
-
(2008)
ICDE 2008: Proceedings of the 24th International Conference on Data Engineering
, pp. 1522-1524
-
-
Koh, J.L.Y.1
Lee, M.-L.2
Hsu, W.3
Ang, W.T.4
-
12
-
-
38049153537
-
Correlation-based detection of attribute outliers
-
Kotagiri, R. Radha Krishna, P. Mohania, M. Nantajeewarawat, E. (eds.), LNCS, Springer, Heidelberg
-
Koh, J.L.Y., Lee, M.-L., Hsu, W., Lam, K.-T.: Correlation-based detection of attribute outliers. In: Kotagiri, R., Radha Krishna, P., Mohania, M., Nantajeewarawat, E. (eds.) DASFAA 2007. LNCS, vol. 4443, pp. 164-175. Springer, Heidelberg (2007).
-
(2007)
DASFAA 2007
, vol.4443
, pp. 164-175
-
-
Koh, J.L.Y.1
Lee, M.-L.2
Hsu, W.3
Lam, K.-T.4
-
13
-
-
52749087746
-
Spot: A system for detecting projected outliers from high-dimensional data streams
-
IEEE, Los Alamitos
-
Zhang, J., Gao, Q., Wang, H.: Spot: A system for detecting projected outliers from high-dimensional data streams. In: ICDE 2008: Proceedings of the 24th International Conference on Data Engineering, pp. 1628-1631. IEEE, Los Alamitos (2008).
-
(2008)
ICDE 2008: Proceedings of the 24th International Conference on Data Engineering
, pp. 1628-1631
-
-
Zhang, J.1
Gao, Q.2
Wang, H.3
-
14
-
-
0030157145
-
Birch: An efficient data clustering method for very large databases
-
ACM, New York
-
Zhang, T., Ramakrishnan, R., Livny, M.: Birch: an efficient data clustering method for very large databases. In: SIGMOD 1996: Proceedings of the 1996 ACM SIGMOD international conference on Management of data, pp. 103-114. ACM, New York (1996).
-
(1996)
SIGMOD 1996: Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data
, pp. 103-114
-
-
Zhang, T.1
Ramakrishnan, R.2
Livny, M.3
-
15
-
-
43249088014
-
Tracking clusters in evolving data streams over sliding windows
-
Zhou, A., Cao, F., Qian, W., Jin, C.: Tracking clusters in evolving data streams over sliding windows. Knowl. Inf. Syst. 15(2), 181-214 (2008).
-
(2008)
Knowl. Inf. Syst.
, vol.15
, Issue.2
, pp. 181-214
-
-
Zhou, A.1
Cao, F.2
Qian, W.3
Jin, C.4
-
16
-
-
19544372918
-
Class noise vs. attribute noise: A quantitative study
-
Zhu, X., Wu, X.: Class noise vs. attribute noise: A quantitative study. Artif. Intell. Rev. 22(3), 177-210 (2004).
-
(2004)
Artif. Intell. Rev.
, vol.22
, Issue.3
, pp. 177-210
-
-
Zhu, X.1
Wu, X.2
|