-
1
-
-
0030126609
-
Learning in the presence of concept drift and hidden context
-
G. Widmer, M. Kubat, Learning in the presence of concept drift and hidden context, Machine Learning, 23(1), 69-101 (1996).
-
(1996)
Machine Learning
, vol.23
, Issue.1
, pp. 69-101
-
-
Widmer, G.1
Kubat, M.2
-
2
-
-
12244286335
-
Systematic Data Selection to Mine Concept-Drifting Data Streams
-
Wei Fan, Systematic Data Selection to Mine Concept-Drifting Data Streams. In Proc of KDD (2004).
-
(2004)
Proc of KDD
-
-
Fan, W.1
-
3
-
-
77952415079
-
Mining Concept-Drifting Data Streams Using Ensemble Classifiers
-
H. Wang, W. Fan, P.S. Yu and J. Han, Mining Concept-Drifting Data Streams Using Ensemble Classifiers, Proc of KDD (2003).
-
(2003)
Proc of KDD
-
-
Wang, H.1
Fan, W.2
Yu, P.S.3
Han, J.4
-
7
-
-
0027632248
-
Neural Gas Network for Vector Quantization and its Application to Time Series Prediction
-
T.M. Martintetz, S.G. Derkarich, K.J. Schultern. Neural Gas Network for Vector Quantization and its Application to Time Series Prediction. IEEE Trans on N. Networks, 4:558-569 (1993).
-
(1993)
IEEE Trans on N. Networks
, vol.4
, pp. 558-569
-
-
Martintetz, T.M.1
Derkarich, S.G.2
Schultern, K.J.3
-
8
-
-
32344442287
-
Combining Proactive and Reactive Predictions for Data Streams
-
Y. Yang, X. Wu and X. Zhu, Combining Proactive and Reactive Predictions for Data Streams, In Proc of KDD (2005).
-
(2005)
Proc of KDD
-
-
Yang, Y.1
Wu, X.2
Zhu, X.3
-
10
-
-
33745638421
-
Fast and Light Boosting for Adaptive Mining of Data Streams
-
F.Chu and C.Zaniolo, Fast and Light Boosting for Adaptive Mining of Data Streams. In Proc of PAKDD (2004).
-
(2004)
Proc of PAKDD
-
-
Chu, F.1
Zaniolo, C.2
-
11
-
-
0037382210
-
Online pattern analysis by evolving self organizing maps
-
D. Deng, N. Kasabov, Online pattern analysis by evolving self organizing maps, J. of Neurocomputing, 51, pp. 87-103 (2003).
-
(2003)
J. of Neurocomputing
, vol.51
, pp. 87-103
-
-
Deng, D.1
Kasabov, N.2
-
14
-
-
84891119474
-
K-nearest Neighbor Classification on Spatial Data Stream Using P-trees
-
M. Khan, Q. Ding, W. Perrizo, K-nearest Neighbor Classification on Spatial Data Stream Using P-trees, In Proc of PAKDD (2002)
-
(2002)
Proc of PAKDD
-
-
Khan, M.1
Ding, Q.2
Perrizo, W.3
-
15
-
-
85040307470
-
An Adaptive Nearest Neighbor Classification Algorithm for Data Streams
-
Y-N Law, C. Zaniolo, An Adaptive Nearest Neighbor Classification Algorithm for Data Streams, Proc of PKDD (2005)
-
(2005)
Proc of PKDD
-
-
Law, Y.-N.1
Zaniolo, C.2
-
16
-
-
70350649252
-
Accurate Decision Trees for Mining High-Speed Data Streams
-
J. Gama, R. Rocha and P. Medas, Accurate Decision Trees for Mining High-Speed Data Streams, In Proc of KDD (2003).
-
(2003)
Proc of KDD
-
-
Gama, J.1
Rocha, R.2
Medas, P.3
-
17
-
-
77952325551
-
Efficient Decision Tree Construction on Streaming Data
-
R. Jin and G. Agrawal, Efficient Decision Tree Construction on Streaming Data. In Proc of KDD (2003).
-
(2003)
Proc of KDD
-
-
Jin, R.1
Agrawal, G.2
-
18
-
-
0346660758
-
A streaming Ensemble Algorithm (SEA) for Large-Scale Classification
-
W.N. Street, Y. Kim, A streaming Ensemble Algorithm (SEA) for Large-Scale Classification. In Proc of KDD (2001)
-
(2001)
Proc of KDD
-
-
Street, W.N.1
Kim, Y.2
-
19
-
-
34548752213
-
-
F. Bacao, V. Lobo, M. Painho, Self-organizing map as Substitutes for K-means Clustering, In Proc of ICSS
-
F. Bacao, V. Lobo, M. Painho, Self-organizing map as Substitutes for K-means Clustering, In Proc of ICSS.
-
-
-
|