-
2
-
-
85012236181
-
A framework for clustering evolving data streams
-
Aggarwal, G., Han, J., Wang, J., Yu, P.: A framework for clustering evolving data streams. In: Int. Conf. on Very Large Data Bases(VLDB). pp. 81-92 (2003)
-
(2003)
Int. Conf. on Very Large Data Bases(VLDB)
, pp. 81-92
-
-
Aggarwal, G.1
Han, J.2
Wang, J.3
Yu, P.4
-
3
-
-
0034514004
-
Clustering data streams
-
Guha, S., Mishra, N., Motwani, R., O'Callaghan, L.: Clustering data streams. In: IEEE Symposium on Foundations of Computer Science, pp. 359-366 (2000)
-
(2000)
IEEE Symposium on Foundations of Computer Science
, pp. 359-366
-
-
Guha, S.1
Mishra, N.2
Motwani, R.3
O'Callaghan, L.4
-
4
-
-
33745434639
-
Density-based clustering over an evolving data stream with noise
-
Cao, F., Ester, M., Qian, W., Zhou, A.: Density-based clustering over an evolving data stream with noise. In: SIAM Conference on Data Mining (SDM) (2006)
-
(2006)
SIAM Conference on Data Mining (SDM)
-
-
Cao, F.1
Ester, M.2
Qian, W.3
Zhou, A.4
-
5
-
-
30344485261
-
Data streams: Algorithms and applications. Found
-
Muthukrishnan, S.: Data streams: Algorithms and applications. Found. Trends Theor. Comput. Sci. 1, 117-236 (2005)
-
(2005)
Trends Theor. Comput. Sci
, vol.1
, pp. 117-236
-
-
Muthukrishnan, S.1
-
6
-
-
84969145690
-
Adaptive, hands-off stream mining
-
Papadimitriou, S., Brockwell, A., Faloutsos, C.: Adaptive, hands-off stream mining. In: Int. Conf. on Very Large Data Bases(VLDB), pp. 560-571 (2003)
-
(2003)
Int. Conf. on Very Large Data Bases(VLDB)
, pp. 560-571
-
-
Papadimitriou, S.1
Brockwell, A.2
Faloutsos, C.3
-
9
-
-
33847172327
-
Clustering by passing messages between data points
-
Frey, B., Dueck, D.: Clustering by passing messages between data points. Science 315, 972-976 (2007)
-
(2007)
Science
, vol.315
, pp. 972-976
-
-
Frey, B.1
Dueck, D.2
-
10
-
-
56049092567
-
Supporting online material of clustering by passing messages between data points
-
Frey, B., Dueck, D.: Supporting online material of clustering by passing messages between data points. Science 315 (2007), http://www.sciencemag.org/cgi/ content/full/1136800/DC1
-
(2007)
Science
, vol.315
-
-
Frey, B.1
Dueck, D.2
-
11
-
-
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 Transactions on Knowledge and Data Engineering (TKDE) 15, 515-528 (2003)
-
(2003)
IEEE Transactions on Knowledge and Data Engineering (TKDE)
, vol.15
, pp. 515-528
-
-
Guha, S.1
Meyerson, A.2
Mishra, N.3
Motwani, R.4
O'Callaghan, L.5
-
13
-
-
77956891289
-
Inference about the change-point from cumulative sum tests
-
Hinkley, D.: Inference about the change-point from cumulative sum tests. Biometrika 58, 509-523 (1971)
-
(1971)
Biometrika
, vol.58
, pp. 509-523
-
-
Hinkley, D.1
-
14
-
-
35748982103
-
Clustering by soft-constraint affinity propagation: Applications to gene-expression data
-
Leone, M., Sumedha, W.M.: Clustering by soft-constraint affinity propagation: Applications to gene-expression data. Bioinformatics 23, 2708 (2007)
-
(2007)
Bioinformatics
, vol.23
, pp. 2708
-
-
Leone, M.1
Sumedha, W.M.2
-
15
-
-
0000550189
-
A density-based algorithm for discovering clusters in large spatial databases with noisethe uniqueness of a good optimum for k-means
-
Ester, M.: A density-based algorithm for discovering clusters in large spatial databases with noisethe uniqueness of a good optimum for k-means. In: International Conference on Knowledge Discovery and Data Mining(KDD) (1996)
-
(1996)
International Conference on Knowledge Discovery and Data Mining(KDD)
-
-
Ester, M.1
-
16
-
-
38049149222
-
-
homepage 2006
-
Keogh, E., Xi, X., Wei, L., Ratanamahatana, C.A.: The UCR time series classification/clustering homepage (2006), http://www.cs.ucr.edu/~eamonn/ time_series-data/
-
The UCR time series classification/clustering
-
-
Keogh, E.1
Xi, X.2
Wei, L.3
Ratanamahatana, C.A.4
-
18
-
-
0032676506
-
A data mining framework for building intrusion detection models
-
Lee, W., Stolfo, S., Mok, K.: A data mining framework for building intrusion detection models. In: IEEE Symposium on Security and Privacy, pp. 120-132 (1999)
-
(1999)
IEEE Symposium on Security and Privacy
, pp. 120-132
-
-
Lee, W.1
Stolfo, S.2
Mok, K.3
-
20
-
-
70350649252
-
Accurate decision trees for mining highspeed data streams
-
Gama, J., Rocha, R., Medas, P.: Accurate decision trees for mining highspeed data streams. In: ACM International Conference on Management of Data (SIGMOD), pp. 523-528 (2003)
-
(2003)
ACM International Conference on Management of Data (SIGMOD)
, pp. 523-528
-
-
Gama, J.1
Rocha, R.2
Medas, P.3
-
21
-
-
39149089260
-
Finding hierarchical heavy hitters in streaming data
-
Cormode, G., Korn, F., Muthukrishnan, S., Srivastava, D.: Finding hierarchical heavy hitters in streaming data. ACM Transactions on Knowledge Discovery from Data (TKDD) 1(4) (2008)
-
(2008)
ACM Transactions on Knowledge Discovery from Data (TKDD)
, vol.1
, Issue.4
-
-
Cormode, G.1
Korn, F.2
Muthukrishnan, S.3
Srivastava, D.4
-
22
-
-
34548577511
-
An empirical bayes approach to detect anomalies in dynamic multidimensional arrays
-
Agarwal, D.K.: An empirical bayes approach to detect anomalies in dynamic multidimensional arrays. In: International Conference on Data Mining (ICDM) (2005)
-
(2005)
International Conference on Data Mining (ICDM)
-
-
Agarwal, D.K.1
|