-
2
-
-
1142293244
-
Maintaining variance and k-medians over data stream windows
-
T. Milo (eds) San Diego, USA ACM New York
-
Babcock, B., Datar, M., Motwani, R., & O'Callaghan, L. (2003). Maintaining variance and k-medians over data stream windows. In T. Milo (Ed.), Proceedings of the 22nd symposium on principles of database systems, San Diego, USA (pp. 234-243). New York: ACM.
-
(2003)
Proceedings of the 22nd Symposium on Principles of Database Systems
, pp. 234-243
-
-
Babcock, B.1
Datar, M.2
Motwani, R.3
O'Callaghan, L.4
-
3
-
-
67049100144
-
Paired learners for concept drift
-
IEEE Comput. Soc. Los Alamitos
-
Bach, S. H., & Maloof, M. A. (2008). Paired learners for concept drift. In ICDM (pp. 23-32). Los Alamitos: IEEE Comput. Soc.
-
(2008)
ICDM
, pp. 23-32
-
-
Bach, S.H.1
Maloof, M.A.2
-
5
-
-
70449100647
-
Learning from time-changing data with adaptive windowing
-
Minneapolis, USA SIAM Philadelphia
-
Bifet, A., & Gavaldà, R. (2007). Learning from time-changing data with adaptive windowing. In Proceedings SIAM international conference on data mining, Minneapolis, USA (pp. 443-448). Philadelphia: SIAM.
-
(2007)
Proceedings SIAM International Conference on Data Mining
, pp. 443-448
-
-
Bifet, A.1
Gavaldà, R.2
-
6
-
-
77953527363
-
MOA: Massive online analysis
-
Bifet, A., Holmes, G., Kirkby, R., & Pfahringer, B. (2010a). MOA: massive online analysis. Journal of Machine Learning Research, 11, 1601-1604.
-
(2010)
Journal of Machine Learning Research
, vol.11
, pp. 1601-1604
-
-
Bifet, A.1
Holmes, G.2
Kirkby, R.3
Pfahringer, B.4
-
7
-
-
79956323714
-
Fast perceptron decision tree learning from evolving data streams
-
14th Pacific-Asia conference 10.1007/978-3-642-13672-6-30
-
Bifet, A., Holmes, G., Pfahringer, B., & Frank, E. (2010b). Fast perceptron decision tree learning from evolving data streams. In Advances in knowledge discovery and data mining, 14th Pacific-Asia conference (pp. 299-310).
-
(2010)
Advances in Knowledge Discovery and Data Mining
, pp. 299-310
-
-
Bifet, A.1
Holmes, G.2
Pfahringer, B.3
Frank, E.4
-
9
-
-
33749322733
-
Catch the moment: Maintaining closed frequent itemsets over a data stream sliding window
-
10.1007/s10115-006-0003-0
-
Chi, Y., Wang, H., Yu, P. S., & Muntz, R. R. (2006). Catch the moment: maintaining closed frequent itemsets over a data stream sliding window. Knowledge and Information Systems, 10(3), 265-294.
-
(2006)
Knowledge and Information Systems
, vol.10
, Issue.3
, pp. 265-294
-
-
Chi, Y.1
Wang, H.2
Yu, P.S.3
Muntz, R.R.4
-
10
-
-
34548803489
-
Conquering the divide: Continuous clustering of distributed data streams
-
Istanbul, Turkey
-
Cormode, G., Muthukrishnan, S., & Zhuang, W. (2007). Conquering the divide: continuous clustering of distributed data streams. In ICDE: proceedings of the international conference on data engineering, Istanbul, Turkey (pp. 1036-1045).
-
(2007)
ICDE: Proceedings of the International Conference on Data Engineering
, pp. 1036-1045
-
-
Cormode, G.1
Muthukrishnan, S.2
Zhuang, W.3
-
11
-
-
0036767270
-
Maintaining stream statistics over sliding windows
-
1954879 1008.68039 10.1137/S0097539701398363
-
Datar, M., Gionis, A., Indyk, P., & Motwani, R. (2002). Maintaining stream statistics over sliding windows. SIAM Journal on Computing, 31(6), 1794-1813.
-
(2002)
SIAM Journal on Computing
, vol.31
, Issue.6
, pp. 1794-1813
-
-
Datar, M.1
Gionis, A.2
Indyk, P.3
Motwani, R.4
-
12
-
-
0000582742
-
Statistical theory: The prequential approach
-
763811 0557.62080 10.2307/2981683
-
Dawid, A. P. (1984). Statistical theory: the prequential approach. Journal of the Royal Statistical Society. Series A, 147, 278-292.
-
(1984)
Journal of the Royal Statistical Society. Series A
, vol.147
, pp. 278-292
-
-
Dawid, A.P.1
-
13
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
2274360 1222.68184
-
Demsar, J. (2006). Statistical comparisons of classifiers over multiple data sets. Journal of Machine Learning Research, 7, 1-30.
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1-30
-
-
Demsar, J.1
-
14
-
-
0008411625
-
Approximate statistical tests for comparing supervised classification learning algorithms
-
Oregon State University
-
Dietterich, T. (1996). Approximate statistical tests for comparing supervised classification learning algorithms. Corvallis, technical report nr. 97.331, Oregon State University.
-
(1996)
Corvallis, Technical Report Nr. 97.331
-
-
Dietterich, T.1
-
15
-
-
0034592938
-
Mining high-speed data streams
-
I. Parsa R. Ramakrishnan S. Stolfo (eds) Boston, USA ACM New York 10.1145/347090.347107
-
Domingos, P., & Hulten, G. (2000). Mining high-speed data streams. In I. Parsa, R. Ramakrishnan, & S. Stolfo (Eds.), Proceedings of the ACM sixth international conference on knowledge discovery and data mining, Boston, USA (pp. 71-80). New York: ACM.
-
(2000)
Proceedings of the ACM Sixth International Conference on Knowledge Discovery and Data Mining
, pp. 71-80
-
-
Domingos, P.1
Hulten, G.2
-
17
-
-
2442503694
-
Discovering decision rules from numerical data streams
-
Nicosia, Cyprus ACM Press New York
-
Ferrer-Troyano, F., Aguilar-Ruiz, J. S., & Riquelme, J. C. (2004). Discovering decision rules from numerical data streams. In Proceedings of the ACM symposium on applied computing, Nicosia, Cyprus (pp. 649-653). New York: ACM Press.
-
(2004)
Proceedings of the ACM Symposium on Applied Computing
, pp. 649-653
-
-
Ferrer-Troyano, F.1
Aguilar-Ruiz, J.S.2
Riquelme, J.C.3
-
19
-
-
33749618778
-
Learning with drift detection
-
A. L. C. Bazzan S. Labidi (eds) São Luis, Brasil Lecture notes in computer science 3171 Springer Berlin 10.1007/978-3-540-28645-5-29
-
Gama, J., Medas, P., Castillo, G., & Rodrigues, P. (2004). Learning with drift detection. In A. L. C. Bazzan & S. Labidi (Eds.), Lecture notes in computer science: Vol. 3171. Advances in artificial intelligence - SBIA 2004, São Luis, Brasil (pp. 286-295). Berlin: Springer.
-
(2004)
Advances in Artificial Intelligence - SBIA 2004
, pp. 286-295
-
-
Gama, J.1
Medas, P.2
Castillo, G.3
Rodrigues, P.4
-
20
-
-
70350649252
-
Accurate decision trees for mining high-speed data streams
-
Washington, DC, USA ACM New York
-
Gama, J., Rocha, R., & Medas, P. (2003). Accurate decision trees for mining high-speed data streams. In Proceedings of the ACM SIGKDD international conference on knowledge discovery and data mining, Washington, DC, USA (pp. 523-528). New York: ACM.
-
(2003)
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 523-528
-
-
Gama, J.1
Rocha, R.2
Medas, P.3
-
21
-
-
70350664414
-
Issues in evaluation of stream learning algorithms
-
Paris, France ACM New York 10.1145/1557019.1557060
-
Gama, J., Sebastião, R., & Rodrigues, P. P. (2009). Issues in evaluation of stream learning algorithms. In Proceedings of the ACM SIGKDD international conference on knowledge discovery and data mining, Paris, France (pp. 329-338). New York: ACM.
-
(2009)
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 329-338
-
-
Gama, J.1
Sebastião, R.2
Rodrigues, P.P.3
-
23
-
-
10044238664
-
Mining frequent patterns in data streams at multiple time granularities
-
H. Kargupta A. Joshi K. Sivakumar Y. Yesha (eds) AAAI Press/MIT Press Menlo Park/Cambridge
-
Giannella, C., Han, J., Pei, J., Yan, X., & Yu, P. (2003). Mining frequent patterns in data streams at multiple time granularities. In H. Kargupta, A. Joshi, K. Sivakumar, & Y. Yesha (Eds.), Next generation data mining. Menlo Park/Cambridge: AAAI Press/MIT Press.
-
(2003)
Next Generation Data Mining
-
-
Giannella, C.1
Han, J.2
Pei, J.3
Yan, X.4
Yu, P.5
-
24
-
-
84954200846
-
Change point detection and meta-bandits for online learning in dynamic environments
-
Cepadues
-
Hartl, C., Baskiotis, N., Gelly, S., & Sebag, M. (2007). Change point detection and meta-bandits for online learning in dynamic environments. In Conférence Francophone sur l'apprentissage automatique, Cepadues (pp. 237-250).
-
(2007)
Conférence Francophone sur l'Apprentissage Automatique
, pp. 237-250
-
-
Hartl, C.1
Baskiotis, N.2
Gelly, S.3
Sebag, M.4
-
25
-
-
0032137328
-
Tracking the best expert
-
0912.68165 10.1023/A:1007424614876
-
Herbster, M., & Warmuth, M. (1998). Tracking the best expert. Machine Learning, 32(2), 151-178.
-
(1998)
Machine Learning
, vol.32
, Issue.2
, pp. 151-178
-
-
Herbster, M.1
Warmuth, M.2
-
26
-
-
84947403595
-
Probability inequalities for sums of bounded random variables
-
144363 0127.10602 10.1080/01621459.1963.10500830
-
Hoeffding, W. (1963). Probability inequalities for sums of bounded random variables. Journal of the American Statistical Association, 58(301), 13-30.
-
(1963)
Journal of the American Statistical Association
, vol.58
, Issue.301
, pp. 13-30
-
-
Hoeffding, W.1
-
29
-
-
0035789299
-
Mining time-changing data streams
-
San Francisco, California ACM New York
-
Hulten, G., Spencer, L., & Domingos, P. (2001). Mining time-changing data streams. In Proceedings of the 7th ACM SIGKDD international conference on knowledge discovery and data mining, San Francisco, California (pp. 97-106). New York: ACM.
-
(2001)
Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 97-106
-
-
Hulten, G.1
Spencer, L.2
Domingos, P.3
-
31
-
-
77950689531
-
Tracking recurring contexts using ensemble classifiers: An application to email filtering
-
10.1007/s10115-009-0206-2
-
Katakis, I., Tsoumakas, G., & Vlahavas, I. (2010). Tracking recurring contexts using ensemble classifiers: an application to email filtering. Knowledge and Information Systems, 22, 371-391.
-
(2010)
Knowledge and Information Systems
, vol.22
, pp. 371-391
-
-
Katakis, I.1
Tsoumakas, G.2
Vlahavas, I.3
-
33
-
-
85123650840
-
Detecting change in data streams
-
Toronto, Canada Morgan Kaufmann San Mateo
-
Kifer, D., Ben-David, S., & Gehrke, J. (2004). Detecting change in data streams. In Proceedings of the international conference on very large data bases, Toronto, Canada (pp. 180-191). San Mateo: Morgan Kaufmann.
-
(2004)
Proceedings of the International Conference on Very Large Data Bases
, pp. 180-191
-
-
Kifer, D.1
Ben-David, S.2
Gehrke, J.3
-
34
-
-
58349084016
-
-
Ph.D. thesis, University of Waikato, New Zealand.
-
Kirkby, R. (2008). Improving Hoeffding trees. Ph.D. thesis, University of Waikato, New Zealand.
-
(2008)
Improving Hoeffding Trees
-
-
Kirkby, R.1
-
35
-
-
84883713774
-
Learning drifting concepts: Example selection vs. example weighting
-
Klinkenberg, R. (2004). Learning drifting concepts: example selection vs. example weighting. Intelligent Data Analysis, 8(3), 281-300.
-
(2004)
Intelligent Data Analysis
, vol.8
, Issue.3
, pp. 281-300
-
-
Klinkenberg, R.1
-
36
-
-
37749050180
-
Dynamic weighted majority: An ensemble method for drifting concepts
-
1222.68237
-
Kolter, J. Z., & Maloof, M. A. (2007). Dynamic weighted majority: an ensemble method for drifting concepts. Journal of Machine Learning Research, 8, 2755-2790.
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 2755-2790
-
-
Kolter, J.Z.1
Maloof, M.A.2
-
39
-
-
84858710401
-
Mining recurring concept drifts with limited labeled streaming data
-
Li, P., Wu, X., & Hu, X. (2010). Mining recurring concept drifts with limited labeled streaming data. Journal of Machine Learning Research - Proceedings Track, 13, 241-252.
-
(2010)
Journal of Machine Learning Research - Proceedings Track
, vol.13
, pp. 241-252
-
-
Li, P.1
Wu, X.2
Hu, X.3
-
40
-
-
84874726593
-
Decision tree for dynamic and uncertain data streams
-
Liang, C., Zhang, Y., & Song, Q. (2010). Decision tree for dynamic and uncertain data streams. Journal of Machine Learning Research - Proceedings Track, 13, 209-224.
-
(2010)
Journal of Machine Learning Research - Proceedings Track
, vol.13
, pp. 209-224
-
-
Liang, C.1
Zhang, Y.2
Song, Q.3
-
41
-
-
33749558210
-
Yale: Rapid prototyping for complex data mining tasks
-
ACM Press New York 10.1145/1150402.1150531
-
Mierswa, I., Wurst, M., Klinkenberg, R., Scholz, M., & Euler, T. (2006). Yale: rapid prototyping for complex data mining tasks. In ACM SIGKDD int. conf. on knowledge discovery and data mining (pp. 935-940). New York: ACM Press.
-
(2006)
ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining
, pp. 935-940
-
-
Mierswa, I.1
Wurst, M.2
Klinkenberg, R.3
Scholz, M.4
Euler, T.5
-
43
-
-
16244377118
-
Test of Page-Hinkley, an approach for fault detection in an agro-alimentary production system
-
2
-
Mouss, H., Mouss, D., Mouss, N., & Sefouhi, L. (2004). Test of Page-Hinkley, an approach for fault detection in an agro-alimentary production system. In Proceedings of the Asian control conference (Vol. 2, pp. 815-818).
-
(2004)
Proceedings of the Asian Control Conference
, pp. 815-818
-
-
Mouss, H.1
Mouss, D.2
Mouss, N.3
Sefouhi, L.4
-
44
-
-
0002916530
-
Continuous inspection schemes
-
88850 0056.38002 10.2307/2333009
-
Page, E. S. (1954). Continuous inspection schemes. Biometrika, 41(1/2), 100-115.
-
(1954)
Biometrika
, vol.41
, Issue.12
, pp. 100-115
-
-
Page, E.S.1
-
45
-
-
62449206329
-
Hierarchical clustering of time series data streams
-
10.1109/TKDE.2007.190727
-
Rodrigues, P. P., Gama, J., & Pedroso, J. P. (2008). Hierarchical clustering of time series data streams. IEEE Transactions on Knowledge and Data Engineering, 20(5), 615-627.
-
(2008)
IEEE Transactions on Knowledge and Data Engineering
, vol.20
, Issue.5
, pp. 615-627
-
-
Rodrigues, P.P.1
Gama, J.2
Pedroso, J.P.3
-
47
-
-
0030126609
-
Learning in the presence of concept drift and hidden contexts
-
Widmer, G., & Kubat, M. (1996). Learning in the presence of concept drift and hidden contexts. Machine Learning, 23, 69-101.
-
(1996)
Machine Learning
, vol.23
, pp. 69-101
-
-
Widmer, G.1
Kubat, M.2
|