-
1
-
-
77952415079
-
Mining concept-drifting data streams using ensemble classifiers
-
ACM Press, New York
-
Wang, H., Fan, W., Yu, P.S., Han, J.: Mining concept-drifting data streams using ensemble classifiers. In: Proceeding of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 226-235. ACM Press, New York (2003)
-
(2003)
Proceeding of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 226-235
-
-
Wang, H.1
Fan, W.2
Yu, P.S.3
Han, J.4
-
2
-
-
0035789299
-
Mining Time-Changing Data Streams
-
Hulten, G., Spencer, L., Domingos, P.: Mining Time-Changing Data Streams. In: ACM SIGKDD, pp. 97-106 (2001)
-
(2001)
ACM SIGKDD
, pp. 97-106
-
-
Hulten, G.1
Spencer, L.2
Domingos, P.3
-
3
-
-
0030126609
-
Learning in the presence of concept drift and hidden contexts
-
Widmer, G., Kubat, M.: Learning in the presence of concept drift and hidden contexts. Machine Learning 23(1), 69-101 (1996)
-
(1996)
Machine Learning
, vol.23
, Issue.1
, pp. 69-101
-
-
Widmer, G.1
Kubat, M.2
-
4
-
-
70649112689
-
Mining concept-drifting multi-label data streams using ensemble classifiers
-
Tianjin, China to appear
-
Qu, W., Zhang, Y., Zhu, J., Wang, Y.: Mining concept-drifting multi-label data streams using ensemble classifiers. In: Fuzzy Systems and Knowledge Discovery, Tianjin, China (to appear, 2009)
-
(2009)
Fuzzy Systems and Knowledge Discovery
-
-
Qu, W.1
Zhang, Y.2
Zhu, J.3
Wang, Y.4
-
6
-
-
77956163078
-
Mining Multi-label Data
-
Maimon, O, Rokach, L, eds, 2nd edn. Springer, Heidelberg
-
Tsoumakas, G., Katakis, I., Vlahavas, I.: Mining Multi-label Data. In: Maimon, O., Rokach, L. (eds.) Data Mining and Knowledge Discovery Handbook, 2nd edn. Springer, Heidelberg (2009), http://mlkd.csd.auth.gr/multilabel.html
-
(2009)
Data Mining and Knowledge Discovery Handbook
-
-
Tsoumakas, G.1
Katakis, I.2
Vlahavas, I.3
-
7
-
-
84943242305
-
-
Clare, A., King, R.: Knowledge discovery in multi-label phenotype data. In: Siebes, A., De Raedt, L. (eds.) PKDD 2001. LNCS (LNAI), 2168, pp. 42-53. Springer, Heidelberg (2001)
-
Clare, A., King, R.: Knowledge discovery in multi-label phenotype data. In: Siebes, A., De Raedt, L. (eds.) PKDD 2001. LNCS (LNAI), vol. 2168, pp. 42-53. Springer, Heidelberg (2001)
-
-
-
-
8
-
-
0033905095
-
Boostexter: A boosting-based system for text categorization
-
Schapire, R.E., Singer, Y.: Boostexter: a boosting-based system for text categorization. Machine Learning, 135-168 (2000)
-
(2000)
Machine Learning
, vol.135-168
-
-
Schapire, R.E.1
Singer, Y.2
-
10
-
-
0142228873
-
A family of additive online algorithms for category ranking
-
Crammer, K., Singer, Y.: A family of additive online algorithms for category ranking. Journal of Machine Learning Research, 1025-1058 (2003)
-
(2003)
Journal of Machine Learning Research
, vol.1025-1058
-
-
Crammer, K.1
Singer, Y.2
-
12
-
-
33748366796
-
Multi-label neural networks with applications to functional genomics and text categorization
-
Zhang, M.L., Zhou, Z.H.: Multi-label neural networks with applications to functional genomics and text categorization. IEEE Transactions on Knowledge and Data Engineering, 1338-1351 (2006)
-
(2006)
IEEE Transactions on Knowledge and Data Engineering
, vol.1338-1351
-
-
Zhang, M.L.1
Zhou, Z.H.2
-
13
-
-
7444230008
-
Discriminative methods for multi-labeled classification
-
Dai, H, Srikant, R, Zhang, C, eds, PAKDD 2004, Springer, Heidelberg
-
Godbole, S., Sarawagi, S.: Discriminative methods for multi-labeled classification. In: Dai, H., Srikant, R., Zhang, C. (eds.) PAKDD 2004. LNCS (LNAI), vol. 3056, pp. 22-30. Springer, Heidelberg (2004)
-
(2004)
LNCS (LNAI
, vol.3056
, pp. 22-30
-
-
Godbole, S.1
Sarawagi, S.2
-
15
-
-
38049079472
-
Case-based multilabel ranking
-
Hyderabad, India, pp
-
Brinker, K., Hullermeier, E.: Case-based multilabel ranking. In: Proceedings of the 20th International Conference on Artificial Intelligence (IJCAI 2007), Hyderabad, India, pp. 702-707 (2007)
-
(2007)
Proceedings of the 20th International Conference on Artificial Intelligence (IJCAI
, pp. 702-707
-
-
Brinker, K.1
Hullermeier, E.2
-
16
-
-
19544382863
-
-
Thabtah, F., Cowling, P., Peng, Y.: Mmac: A new multi-class, multi-label associative classification approach. In: Proceedings of the 4th IEEE International Conference on Data Mining, ICDM 2004, pp. 217-224 (2004)
-
Thabtah, F., Cowling, P., Peng, Y.: Mmac: A new multi-class, multi-label associative classification approach. In: Proceedings of the 4th IEEE International Conference on Data Mining, ICDM 2004, pp. 217-224 (2004)
-
-
-
-
17
-
-
26444562687
-
The problem of concept drift: Definitions and related work
-
Technical Report TCD-CS-2004-15, Department of Computer Science, Trinity College Dublin, Ireland
-
Tsymbal, A.: The problem of concept drift: definitions and related work. Technical Report TCD-CS-2004-15, Department of Computer Science, Trinity College Dublin, Ireland (2004)
-
(2004)
-
-
Tsymbal, A.1
-
18
-
-
0035788947
-
A streaming ensemble algorithm (SEA) for large scale classification
-
San Francisco, CA, August
-
Street, W., Kim, Y.: A streaming ensemble algorithm (SEA) for large scale classification. In: KDD 2001, 7th International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, August 2001, pp. 377-382 (2001)
-
(2001)
KDD 2001, 7th International Conference on Knowledge Discovery and Data Mining
, pp. 377-382
-
-
Street, W.1
Kim, Y.2
-
19
-
-
19544364128
-
Dynamic classifier selection for effective mining from noisy data streams
-
Zhu, X., Wu, X., Yang, Y.: Dynamic classifier selection for effective mining from noisy data streams. In: Proceedings of the 4th international conference on Data Mining (ICDM 2004), pp. 305-312 (2004)
-
(2004)
Proceedings of the 4th international conference on Data Mining (ICDM
, pp. 305-312
-
-
Zhu, X.1
Wu, X.2
Yang, Y.3
-
21
-
-
33749587572
-
An automatic construction and organization strategy for ensemble learning on data streams
-
Zhang, Y., Jin, X.: An automatic construction and organization strategy for ensemble learning on data streams. ACM SIGMOD Record 35(3), 28-33 (2006)
-
(2006)
ACM SIGMOD Record
, vol.35
, Issue.3
, pp. 28-33
-
-
Zhang, Y.1
Jin, X.2
-
22
-
-
33845587386
-
Handling local concept drift with dynamic integration of classifiers: Domain of antibiotic resistance in nosocomial infections
-
Tsymbal, A., Pechenizkiy, M., Cunningham, P.: Puuronen. S.: Handling local concept drift with dynamic integration of classifiers: domain of antibiotic resistance in nosocomial infections. In: Proceedings of 19th International Symposium on Computer-Based Medical Systems (CBMS 2006), pp. 679-684 (2006)
-
(2006)
Proceedings of 19th International Symposium on Computer-Based Medical Systems (CBMS
, pp. 679-684
-
-
Tsymbal, A.1
Pechenizkiy, M.2
Cunningham, P.3
Puuronen, S.4
-
23
-
-
1542377538
-
A maximal figure-of-merit approach to text categorization
-
Gao, S., Wu, W., Lee, C.-H., Chua, T.-S.: A maximal figure-of-merit approach to text categorization. In: SIGIR 2003, pp. 174-181 (2003)
-
(2003)
SIGIR 2003
, pp. 174-181
-
-
Gao, S.1
Wu, W.2
Lee, C.-H.3
Chua, T.-S.4
-
24
-
-
37849024302
-
Dynamic Feature Space and Incremental Feature Selection for the Classification of Textual Data Streams
-
Berlin, Germany, pp
-
Katakis, I., Tsoumakas, G., Vlahavas, I.: Dynamic Feature Space and Incremental Feature Selection for the Classification of Textual Data Streams. In: ECML/PKDD 2006 International Workshop on Knowledge Discovery from Data Streams, Berlin, Germany, pp. 107-116 (2006)
-
(2006)
ECML/PKDD 2006 International Workshop on Knowledge Discovery from Data Streams
, pp. 107-116
-
-
Katakis, I.1
Tsoumakas, G.2
Vlahavas, I.3
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