-
1
-
-
85012236181
-
A Framework for Clustering Evolving Data Streams
-
C.C. Aggarwal, J. Han, J. Wang, and P.S. Yu, "A Framework for Clustering Evolving Data Streams," Proc. 29th Int'l Conf. Very Large Data Bases (VLDB '03), pp. 81-92, 2003.
-
(2003)
Proc. 29th Int'l Conf. Very Large Data Bases (VLDB '03)
, pp. 81-92
-
-
Aggarwal, C.C.1
Han, J.2
Wang, J.3
Yu, P.S.4
-
2
-
-
22944452794
-
Applying Support Vector Machines to Imbalanced Datasets
-
R. Akbani, S. Kwek, and N. Japkowicz, "Applying Support Vector Machines to Imbalanced Datasets," Proc. 15th European Conf. Machine Learning (ECML '04), pp. 39-50, 2004.
-
(2004)
Proc. 15th European Conf. Machine Learning (ECML '04)
, pp. 39-50
-
-
Akbani, R.1
Kwek, S.2
Japkowicz, N.3
-
3
-
-
0037397213
-
Combining Symbolic Classifiers from Multiple Inducers
-
J.A. Baranauskas and M.C. Monard, "Combining Symbolic Classifiers from Multiple Inducers," Knowledge-Based Systems, vol. 16, pp. 129-136, 2003.
-
(2003)
Knowledge-Based Systems
, vol.16
, pp. 129-136
-
-
Baranauskas, J.A.1
Monard, M.C.2
-
4
-
-
29344431681
-
Weighted One-against-All
-
L. Beygelzimer, J. Langford, and B. Zadrozny, "Weighted One-against-All," Proc. 20th Nat'l Conf. Artificial Intelligence (AAAI '05), pp. 720-725, 2005.
-
(2005)
Proc. 20th Nat'l Conf. Artificial Intelligence (AAAI '05)
, pp. 720-725
-
-
Beygelzimer, L.1
Langford, J.2
Zadrozny, B.3
-
6
-
-
0004116989
-
-
second ed. MIT Press and McGraw-Hill
-
T.H. Cormen, C.E. Leiserson, R.L. Rivest, and G Stein, Introduction to Algorithms, second ed. MIT Press and McGraw-Hill, 2001.
-
(2001)
Introduction to Algorithms
-
-
Cormen, T.H.1
Leiserson, C.E.2
Rivest, R.L.3
Stein, G.4
-
7
-
-
0034250160
-
An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
-
T.G. Dietterich, "An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization," Machine Learning, vol. 40, pp. 139-158, 2000.
-
(2000)
Machine Learning
, vol.40
, pp. 139-158
-
-
Dietterich, T.G.1
-
8
-
-
0000406788
-
Solving Multiclass Learning Problems via Error-Correcting Output Codes
-
T.G. Dietterich and G. Bakiri, "Solving Multiclass Learning Problems via Error-Correcting Output Codes," J. Artificial Intelligence Research, vol. 2, pp. 263-286, 1995.
-
(1995)
J. Artificial Intelligence Research
, vol.2
, pp. 263-286
-
-
Dietterich, T.G.1
Bakiri, G.2
-
9
-
-
33845730539
-
-
Springer
-
V. Estruch, C. Ferri, J. Hernández-Orallo, and M.J. Ramírez-Quintana, Bagging Decision Multi-Trees, pp. 41-51. Springer, 2004.
-
(2004)
Bagging Decision Multi-Trees
, pp. 41-51
-
-
Estruch, V.1
Ferri, C.2
Hernández-Orallo, J.3
Ramírez-Quintana, M.J.4
-
10
-
-
19044382587
-
Round Robin Classification
-
J. Furnkranz, "Round Robin Classification," J. Machine Learning Research, vol. 2, pp. 721-747, 2002.
-
(2002)
J. Machine Learning Research
, vol.2
, pp. 721-747
-
-
Furnkranz, J.1
-
11
-
-
2442562542
-
Forest Trees for On-Line Data
-
J. Gama, P. Medas, and R. Rocha, "Forest Trees for On-Line Data," Proc. ACM Symp. Applied Computing (SAC '04), pp. 632-636, 2004.
-
(2004)
Proc. ACM Symp. Applied Computing (SAC '04)
, pp. 632-636
-
-
Gama, J.1
Medas, P.2
Rocha, R.3
-
12
-
-
31844442669
-
A Martingale Framework for Concept Change Detection in Time-Varying Data Streams
-
S.S. Ho, "A Martingale Framework for Concept Change Detection in Time-Varying Data Streams," Proc. 22nd Int'l Conf. Machine Learning (ICML '05), pp. 321-327, 2005.
-
(2005)
Proc. 22nd Int'l Conf. Machine Learning (ICML '05)
, pp. 321-327
-
-
Ho, S.S.1
-
13
-
-
0036505670
-
A Comparison of Methods for Multi-Class Support Vector Machines
-
C. Hsu and C. Lin, "A Comparison of Methods for Multi-Class Support Vector Machines," IEEE Trans. Neural Networks, vol. 5, pp. 415-425, 2002.
-
(2002)
IEEE Trans. Neural Networks
, vol.5
, pp. 415-425
-
-
Hsu, C.1
Lin, C.2
-
14
-
-
0035789299
-
Mining Time-Changing Data Streams
-
G. Hulten, L. Spencer, and P. Domingos, "Mining Time-Changing Data Streams," Proc. ACM SIGKDD '01, pp. 97-106, 2001.
-
(2001)
Proc. ACM SIGKDD '01
, pp. 97-106
-
-
Hulten, G.1
Spencer, L.2
Domingos, P.3
-
16
-
-
31844454923
-
Ensembles of Biased Classifiers
-
R. Khoussainov, A. Heß, and N. Kushmerick, "Ensembles of Biased Classifiers," Proc. 22nd Int'l Conf. Machine Learning (ICML '05), pp. 425-432, 2005.
-
(2005)
Proc. 22nd Int'l Conf. Machine Learning (ICML '05)
, pp. 425-432
-
-
Khoussainov, R.1
Heß, A.2
Kushmerick, N.3
-
17
-
-
22444454265
-
Combining Classifiers: A Theoretical Framework
-
J. Kittler, "Combining Classifiers: A Theoretical Framework," Pattern Analysis and Applications, vol. 1, no. 1, pp. 18-27, 1998.
-
(1998)
Pattern Analysis and Applications
, vol.1
, Issue.1
, pp. 18-27
-
-
Kittler, J.1
-
18
-
-
33645983801
-
Why Error-Correcting Output Coding Works with Decision Trees,
-
Dept. of Computer Science, Oregon State Univ
-
E.B. Kong and T.G. Dietterich, "Why Error-Correcting Output Coding Works with Decision Trees," technical report, Dept. of Computer Science, Oregon State Univ., 1995.
-
(1995)
technical report
-
-
Kong, E.B.1
Dietterich, T.G.2
-
19
-
-
0037403516
-
Measures of Diversity in Classifier Ensembles
-
L.I. Kuncheva and C.J. Whitaker, "Measures of Diversity in Classifier Ensembles," Machine Learning, vol. 51, no. 2, pp. 181-207, 2003.
-
(2003)
Machine Learning
, vol.51
, Issue.2
, pp. 181-207
-
-
Kuncheva, L.I.1
Whitaker, C.J.2
-
21
-
-
33745834241
-
-
D.J. Newman, S. Hettich, C. Blake, and C Merz, "UCI Repository of Machine Learning Databases," http://www.ics.uci.edu/-mlearn/MLRepository. html, 1998.
-
(1998)
UCI Repository of Machine Learning Databases
-
-
Newman, D.J.1
Hettich, S.2
Blake, C.3
Merz, C.4
-
22
-
-
60349101742
-
Using an Ensemble of One-Class SVM Classifiers to Harden Payload-Based Anomaly Detection Systems
-
R. Perdisci, G. Gu, and W. Lee, "Using an Ensemble of One-Class SVM Classifiers to Harden Payload-Based Anomaly Detection Systems," Proc. Sixth Int'l Conf. Data Mining (ICDM '06), pp. 488-498, 2006.
-
(2006)
Proc. Sixth Int'l Conf. Data Mining (ICDM '06)
, pp. 488-498
-
-
Perdisci, R.1
Gu, G.2
Lee, W.3
-
24
-
-
56749117943
-
In Defense of One-vs-All Classification
-
R. Rifkin and A. Klautau, "In Defense of One-vs-All Classification," J. Machine Learning Research, vol. 5, pp. 101-141, 2004.
-
(2004)
J. Machine Learning Research
, vol.5
, pp. 101-141
-
-
Rifkin, R.1
Klautau, A.2
-
25
-
-
0035788947
-
A Streaming Ensemble Algorithm (SEA) for Large-Scale Classification
-
W.N. Street and Y. Kim, "A Streaming Ensemble Algorithm (SEA) for Large-Scale Classification," Proc. ACM SIGKDD '01, pp. 377-382, 2001.
-
(2001)
Proc. ACM SIGKDD '01
, pp. 377-382
-
-
Street, W.N.1
Kim, Y.2
-
26
-
-
26444562687
-
The Problem of Concept Drift: Definitions and Related Work,
-
Technical Report TCD-CS-2004-15, Computer Science Dept, Trinity College Dublin, Ireland
-
A. Tsymbal, "The Problem of Concept Drift: Definitions and Related Work," Technical Report TCD-CS-2004-15, Computer Science Dept., Trinity College Dublin, Ireland, 2004.
-
(2004)
-
-
Tsymbal, A.1
-
27
-
-
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. ACM SIGKDD '03, pp. 226-235, 2003.
-
(2003)
Proc. ACM SIGKDD '03
, pp. 226-235
-
-
Wang, H.1
Fan, W.2
Yu, P.S.3
Han, J.4
-
28
-
-
34548554258
-
On Reducing Classifier Granularity in Mining Concept-Drifting Data Streams
-
P. Wang, H. Wang, X. Wu, W. Wang, and B. Shi, "On Reducing Classifier Granularity in Mining Concept-Drifting Data Streams," Proc. Fifth IEEE Int'l Conf. Data Mining (ICDM '05), pp. 474-481, 2005.
-
(2005)
Proc. Fifth IEEE Int'l Conf. Data Mining (ICDM '05)
, pp. 474-481
-
-
Wang, P.1
Wang, H.2
Wu, X.3
Wang, W.4
Shi, B.5
-
29
-
-
0030126609
-
Learning in the Presence of Concept Drift and Hidden Contexts
-
G. Widmer and M. Kubat, "Learning in the Presence of Concept Drift and Hidden Contexts," Machine Learning, vol. 23, pp. 69-101, 1996.
-
(1996)
Machine Learning
, vol.23
, pp. 69-101
-
-
Widmer, G.1
Kubat, M.2
-
30
-
-
32344442287
-
Combining Proactive and Reactive Predictions for Data Streams
-
Y. Yang, X. Wu, and X. Zhu, "Combining Proactive and Reactive Predictions for Data Streams," Proc. ACM SIGKDD '05, pp. 710-715, 2005.
-
(2005)
Proc. ACM SIGKDD '05
, pp. 710-715
-
-
Yang, Y.1
Wu, X.2
Zhu, X.3
-
31
-
-
33749017306
-
Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams
-
Y. Yang, X. Wu, and X. Zhu, "Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams," Data Mining and Knowledge Discovery, vol. 13, no. 3, pp. 261-289, 2006.
-
(2006)
Data Mining and Knowledge Discovery
, vol.13
, Issue.3
, pp. 261-289
-
-
Yang, Y.1
Wu, X.2
Zhu, X.3
|