-
1
-
-
27144531570
-
A study of the behavior of several methods for balancing machine learning training data
-
Batista G., Prati R.C., and Monard M.C. A study of the behavior of several methods for balancing machine learning training data. SIGKDD Explorations 6 1 (2004) 20-29
-
(2004)
SIGKDD Explorations
, vol.6
, Issue.1
, pp. 20-29
-
-
Batista, G.1
Prati, R.C.2
Monard, M.C.3
-
2
-
-
0000255880
-
A comparison of dynamic and non-dynamic rough set methods for extracting laws from decision tables
-
Polkowski L., and Skowron A. (Eds), Phisica-Verlag, Heidelberg
-
Bazan J. A comparison of dynamic and non-dynamic rough set methods for extracting laws from decision tables. In: Polkowski L., and Skowron A. (Eds). Rough Sets in Knowledge Discovery (1998), Phisica-Verlag, Heidelberg 321-365
-
(1998)
Rough Sets in Knowledge Discovery
, pp. 321-365
-
-
Bazan, J.1
-
3
-
-
0035502119
-
Reducts within the variable precision rough sets model: a further investigation
-
Beynon M. Reducts within the variable precision rough sets model: a further investigation. European Journal of Operational Research 134 (2001) 592-605
-
(2001)
European Journal of Operational Research
, vol.134
, pp. 592-605
-
-
Beynon, M.1
-
4
-
-
36549081970
-
-
C. Blake, E. Keogh, C.J. Merz, UCI Repository of Machine Learning Databases, Dept. of Information and Computer Science, Univ. of California, Irvine, 1998. Available from: .
-
-
-
-
5
-
-
9444295412
-
-
U. Brefeld, P. Geibel, F. Wysotzki, Support vector machines with example dependent costs, in: N. Lavrac, D. Gamberger, L. Todorovski, H. Blockeel (Eds.), Proc. 14th European Conf. Machine Learning, ECML'03, Cavtat, Croatia, 2003, pp. 23-34.
-
-
-
-
6
-
-
36549061524
-
-
N. Chawla, N. Japkowicz, A. Kolcz (Eds.), Proc. ICML'03 Workshop on Learning from Imbalanced Data Sets (II), Washington DC, USA, 2003. Available from: .
-
-
-
-
7
-
-
27144549260
-
-
Chawla N., Japkowicz N., and Kolcz A. (Eds)
-
In: Chawla N., Japkowicz N., and Kolcz A. (Eds). Special Issues on Learning from Imbalanced Data Sets. SIGKDD Explorations 6 1 (2004) 1-6
-
(2004)
SIGKDD Explorations
, vol.6
, Issue.1
, pp. 1-6
-
-
-
9
-
-
36549000781
-
-
C. Drummond, R.C. Holte, C4.5, class imbalance, and cost sensitivity: why under-sampling beats over-sampling, in: N. Chawla, N. Japkowicz, A. Kolcz (Eds.), Proc. ICML'03 Workshop on Learning from Imbalanced Data Sets (II), Washington DC, USA, 2003. Available from: .
-
-
-
-
10
-
-
0032205549
-
Uncertainty measures of rough set prediction
-
Duntsch I., and Gediga G. Uncertainty measures of rough set prediction. Artificial Intelligence 106 1 (1998) 109-137
-
(1998)
Artificial Intelligence
, vol.106
, Issue.1
, pp. 109-137
-
-
Duntsch, I.1
Gediga, G.2
-
12
-
-
33646023117
-
An introduction to ROC analysis
-
Fawcett T. An introduction to ROC analysis. Pattern Recognition Letters 27 (2006) 861-874
-
(2006)
Pattern Recognition Letters
, vol.27
, pp. 861-874
-
-
Fawcett, T.1
-
13
-
-
36549045117
-
-
U.M. Fayyad, K.B. Irani, Multi-interval discretization of continuous-valued attributes for classification learning, in: R. Bajcsy (Eds.), Proc. 13th Int. Joint Conf. Artificial Intelligence, IJCAI'93, Chambery, France, 1993, pp. 1022-1027.
-
-
-
-
18
-
-
0003562954
-
A simple generalization of the area under the ROC curve to multiple class classification problems
-
Hand D.J., and Till R.J. A simple generalization of the area under the ROC curve to multiple class classification problems. Machine Learning 45 2 (2001) 171-186
-
(2001)
Machine Learning
, vol.45
, Issue.2
, pp. 171-186
-
-
Hand, D.J.1
Till, R.J.2
-
19
-
-
85130633757
-
Data mining via discretization, generalization and rough set feature selection
-
Hu X.-H., and Cercone N. Data mining via discretization, generalization and rough set feature selection. Knowledge and Information Systems 1 1 (1999) 33-60
-
(1999)
Knowledge and Information Systems
, vol.1
, Issue.1
, pp. 33-60
-
-
Hu, X.-H.1
Cercone, N.2
-
20
-
-
33749543946
-
Analysis on classification performance of rough set based reducts
-
Yang Q., and Webb G. (Eds), Springer-Verlag, Heidelberg
-
Hu Q.-H., Li X.-D., and Yu D.-R. Analysis on classification performance of rough set based reducts. In: Yang Q., and Webb G. (Eds). Proc. 9th Pacific Rim Int. Conf. Artificial Intelligence, PRICAI'06, LNAI 4099 (2006), Springer-Verlag, Heidelberg 423-433
-
(2006)
Proc. 9th Pacific Rim Int. Conf. Artificial Intelligence, PRICAI'06, LNAI 4099
, pp. 423-433
-
-
Hu, Q.-H.1
Li, X.-D.2
Yu, D.-R.3
-
22
-
-
32644440353
-
Information-preserving hybrid data reduction based on fuzzy-rough techniques
-
Hu Q.-H., Yu D.-R., and Xie Z.-X. Information-preserving hybrid data reduction based on fuzzy-rough techniques. Pattern Recognition Letters 27 5 (2006) 414-423
-
(2006)
Pattern Recognition Letters
, vol.27
, Issue.5
, pp. 414-423
-
-
Hu, Q.-H.1
Yu, D.-R.2
Xie, Z.-X.3
-
23
-
-
33645801018
-
Fuzzy probabilistic approximation spaces and their information measures
-
Hu Q.-H., Yu D.-R., Xie Z.-X., and Liu J.-F. Fuzzy probabilistic approximation spaces and their information measures. IEEE Transactions on Fuzzy Systems 14 2 (2006) 191-201
-
(2006)
IEEE Transactions on Fuzzy Systems
, vol.14
, Issue.2
, pp. 191-201
-
-
Hu, Q.-H.1
Yu, D.-R.2
Xie, Z.-X.3
Liu, J.-F.4
-
24
-
-
36549063790
-
-
N. Japkowicz, Learning from imbalanced data sets: a comparison of various strategies, in: N. Japkowicz (Eds.), Proc. AAAI'00 Workshop on Learning from Imbalanced Data Sets, Technical Report WS-00-05, AAAI Press, Menlo Park, CA, 2000, pp. 10-15.
-
-
-
-
25
-
-
36549042515
-
-
N. Japkowicz (Eds.), Proc. AAAI'00 Workshop on Learning from Imbalanced Data Sets, Technical Report WS-00-05, AAAI Press, Menlo Park, CA, 2000.
-
-
-
-
26
-
-
33845536164
-
The class imbalance problem: A systematic study
-
Japkowicz N., and Stephen S. The class imbalance problem: A systematic study. Intelligent Data Analysis 6 5 (2002) 429-450
-
(2002)
Intelligent Data Analysis
, vol.6
, Issue.5
, pp. 429-450
-
-
Japkowicz, N.1
Stephen, S.2
-
27
-
-
0033079944
-
Rules in incomplete information systems
-
Kryszkiewicz M. Rules in incomplete information systems. Information Sciences 113 3-4 (1999) 271-292
-
(1999)
Information Sciences
, vol.113
, Issue.3-4
, pp. 271-292
-
-
Kryszkiewicz, M.1
-
28
-
-
0035156139
-
Comparative study of alternative type of knowledge reduction in inconsistent systems
-
Kryszkiewicz M. Comparative study of alternative type of knowledge reduction in inconsistent systems. International Journal of Intelligent Systems 16 (2001) 105-120
-
(2001)
International Journal of Intelligent Systems
, vol.16
, pp. 105-120
-
-
Kryszkiewicz, M.1
-
31
-
-
34547542031
-
-
T.-H. Ma, M.-L. Tang, Weighted rough set model, in: Y. Chen, A. Abraham (Eds.), Proc. 6th Int. Conf. Intelligent Systems Design and Applications, ISDA'06, Jinan, Shandong, China, 2006, pp. 481-485.
-
-
-
-
32
-
-
36549068271
-
-
M.A. Maloof, Learning when data sets are imbalanced and when costs are unequal and unknown, in: N. Chawla, N. Japkowicz, A. Kolcz (Eds.), Proc. ICML'03 Workshop on Learning from Imbalanced Data Sets (II), Washington DC, USA, 2003. Available from: .
-
-
-
-
33
-
-
1642525195
-
Approaches to knowledge reduction based on variable precision rough set model
-
Mi J.-S., Wu W.-Z., and Zhang W.-X. Approaches to knowledge reduction based on variable precision rough set model. Information Sciences 159 (2004) 255-272
-
(2004)
Information Sciences
, vol.159
, pp. 255-272
-
-
Mi, J.-S.1
Wu, W.-Z.2
Zhang, W.-X.3
-
34
-
-
0003046840
-
A theory and methodology of inductive learning
-
Michalski R.S., Carbonell J.G., and Mitchell T.M. (Eds), Morgan Kaufmann, San Mateo, CA
-
Michalski R.S. A theory and methodology of inductive learning. In: Michalski R.S., Carbonell J.G., and Mitchell T.M. (Eds). Machine Learning: an Artificial Intelligence Approach (1983), Morgan Kaufmann, San Mateo, CA 83-134
-
(1983)
Machine Learning: an Artificial Intelligence Approach
, pp. 83-134
-
-
Michalski, R.S.1
-
37
-
-
0036851028
-
Rough sets and intelligent data analysis
-
Pawlak Z. Rough sets and intelligent data analysis. Information Sciences 147 (2002) 1-12
-
(2002)
Information Sciences
, vol.147
, pp. 1-12
-
-
Pawlak, Z.1
-
38
-
-
0029405527
-
Rough sets
-
Pawlak Z., Grzymala-Busse J.W., Slowinski R., and Ziarko W. Rough sets. Comm. ACM 38 11 (1995) 89-95
-
(1995)
Comm. ACM
, vol.38
, Issue.11
, pp. 89-95
-
-
Pawlak, Z.1
Grzymala-Busse, J.W.2
Slowinski, R.3
Ziarko, W.4
-
39
-
-
33749667344
-
Rough sets: some extensions
-
Pawlak Z., and Skowron A. Rough sets: some extensions. Information Sciences 177 1 (2007) 28-40
-
(2007)
Information Sciences
, vol.177
, Issue.1
, pp. 28-40
-
-
Pawlak, Z.1
Skowron, A.2
-
41
-
-
33749668975
-
Rough sets and boolean reasoning
-
Pawlak Z., and Skowron A. Rough sets and boolean reasoning. Information Sciences 177 1 (2007) 41-73
-
(2007)
Information Sciences
, vol.177
, Issue.1
, pp. 41-73
-
-
Pawlak, Z.1
Skowron, A.2
-
42
-
-
9444270977
-
Class imbalances versus class overlapping: an analysis of a learning system behavior
-
Monroy R., Arroyo G., Sucar L.E., and Sossa H. (Eds), Springer-Verlag, Heidelberg
-
Prati R.C., Batista G.E.A.P.A., and Monard M.C. Class imbalances versus class overlapping: an analysis of a learning system behavior. In: Monroy R., Arroyo G., Sucar L.E., and Sossa H. (Eds). Proc. 3rd Mexican Int. Conf. Artificial Intelligence, MICAI'04, LNAI 2972 (2004), Springer-Verlag, Heidelberg 312-321
-
(2004)
Proc. 3rd Mexican Int. Conf. Artificial Intelligence, MICAI'04, LNAI 2972
, pp. 312-321
-
-
Prati, R.C.1
Batista, G.E.A.P.A.2
Monard, M.C.3
-
43
-
-
85101511266
-
Analysis and visualization of classifier performance: comparison under imprecise class and cost distributions
-
Heckerman D., Mannila H., and Pregibon D. (Eds), AAAI Press, Menlo Park, CA
-
Provost F.J., and Fawcett T. Analysis and visualization of classifier performance: comparison under imprecise class and cost distributions. In: Heckerman D., Mannila H., and Pregibon D. (Eds). Proc. 3rd Int. Conf. Knowledge Discovery and Data Mining, KDD'97 (1997), AAAI Press, Menlo Park, CA 43-48
-
(1997)
Proc. 3rd Int. Conf. Knowledge Discovery and Data Mining, KDD'97
, pp. 43-48
-
-
Provost, F.J.1
Fawcett, T.2
-
45
-
-
85126956858
-
Stacking classifiers for anti-spam filtering of E-mail
-
Lee L., and Harman D. (Eds), Carnegie Mellon University, Pittsburgh, PA, USA
-
Sakkis G., Androutsopoulos I., Paliouras G., Karkaletsis V., Spyropoulos C., and atamatopoulos P. Stacking classifiers for anti-spam filtering of E-mail. In: Lee L., and Harman D. (Eds). Proc. 6th Conf. Empirical Methods in Natural Language Processing, EMNLP'01 (2001), Carnegie Mellon University, Pittsburgh, PA, USA 44-50
-
(2001)
Proc. 6th Conf. Empirical Methods in Natural Language Processing, EMNLP'01
, pp. 44-50
-
-
Sakkis, G.1
Androutsopoulos, I.2
Paliouras, G.3
Karkaletsis, V.4
Spyropoulos, C.5
atamatopoulos, P.6
-
46
-
-
0036833247
-
A rough-fuzzy approach for generating classification rules
-
Shen Q., and Chouchoulas A. A rough-fuzzy approach for generating classification rules. Pattern Recognition 35 11 (2002) 2425-2438
-
(2002)
Pattern Recognition
, vol.35
, Issue.11
, pp. 2425-2438
-
-
Shen, Q.1
Chouchoulas, A.2
-
47
-
-
36549028371
-
-
D. Slezak, Approximate reducts in decision tables, in: B. Bouchon-Meunier, M. Delgado, J.L. Verdegay, M.A. Vila, R.R. Yager (Eds.), Proc. 6th Int. Conf. Information Processing and Management of Uncertainty in Knowledge-based System, IPMU'96, Granada, Spain, 1996, pp. 1159-1164.
-
-
-
-
48
-
-
0036948613
-
Approximate entropy reducts
-
Slezak D. Approximate entropy reducts. Fundamenta Informaticae 53 3-4 (2002) 365-390
-
(2002)
Fundamenta Informaticae
, vol.53
, Issue.3-4
, pp. 365-390
-
-
Slezak, D.1
-
49
-
-
0002865353
-
On rough set based approaches to induction of decision rules
-
Polkowski L., and Skowron A. (Eds), Physica-Verlag, Heidelberg
-
Stefanowski J. On rough set based approaches to induction of decision rules. In: Polkowski L., and Skowron A. (Eds). Rough Sets in Knowledge Discovery (1998), Physica-Verlag, Heidelberg 501-529
-
(1998)
Rough Sets in Knowledge Discovery
, pp. 501-529
-
-
Stefanowski, J.1
-
50
-
-
33747062126
-
Rough sets for handling imbalanced data: combining filtering and rule-based classifiers
-
Stefanowski J., and Wilk S. Rough sets for handling imbalanced data: combining filtering and rule-based classifiers. Fundamenta Informaticae 72 1 (2006) 379-391
-
(2006)
Fundamenta Informaticae
, vol.72
, Issue.1
, pp. 379-391
-
-
Stefanowski, J.1
Wilk, S.2
-
51
-
-
28244467848
-
Posterior probability support vector machines for unbalanced data
-
Tao Q., Wu G.-W., Wang F.-Y., and Wang J. Posterior probability support vector machines for unbalanced data. IEEE Transactions on Neural Networks 16 6 (2005) 1561-1573
-
(2005)
IEEE Transactions on Neural Networks
, vol.16
, Issue.6
, pp. 1561-1573
-
-
Tao, Q.1
Wu, G.-W.2
Wang, F.-Y.3
Wang, J.4
-
52
-
-
0036565589
-
An instance-weighting method to induce cost-sensitive trees
-
Ting K.M. An instance-weighting method to induce cost-sensitive trees. IEEE Transactions on Knowledge and Data Engineering 14 3 (2002) 659-665
-
(2002)
IEEE Transactions on Knowledge and Data Engineering
, vol.14
, Issue.3
, pp. 659-665
-
-
Ting, K.M.1
-
53
-
-
0032291072
-
Automated extraction of medical expert system rules from clinical databases based on rough set theory
-
Tsumoto S. Automated extraction of medical expert system rules from clinical databases based on rough set theory. Information Sciences 112 1-4 (1998) 67-84
-
(1998)
Information Sciences
, vol.112
, Issue.1-4
, pp. 67-84
-
-
Tsumoto, S.1
-
54
-
-
2342616187
-
Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model
-
Tsumoto S. Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model. Information Sciences 162 2 (2004) 65-80
-
(2004)
Information Sciences
, vol.162
, Issue.2
, pp. 65-80
-
-
Tsumoto, S.1
-
55
-
-
0037564105
-
Rough reduction: in algebra view and information view
-
Wang G.Y. Rough reduction: in algebra view and information view. International Journal of Intelligent Systems 18 6 (2003) 679-688
-
(2003)
International Journal of Intelligent Systems
, vol.18
, Issue.6
, pp. 679-688
-
-
Wang, G.Y.1
-
56
-
-
33645310674
-
A comparative study of algebra viewpoint and information viewpoint in attribute reduction
-
Wang G.Y., Zhao J., An J.J., et al. A comparative study of algebra viewpoint and information viewpoint in attribute reduction. Fundamenta Informaticae 68 3 (2005) 289-301
-
(2005)
Fundamenta Informaticae
, vol.68
, Issue.3
, pp. 289-301
-
-
Wang, G.Y.1
Zhao, J.2
An, J.J.3
-
57
-
-
20844458491
-
Mining with rarity: problems and solutions: a unifying framework
-
Weiss G.M. Mining with rarity: problems and solutions: a unifying framework. SIGKDD Explorations 6 1 (2004) 7-19
-
(2004)
SIGKDD Explorations
, vol.6
, Issue.1
, pp. 7-19
-
-
Weiss, G.M.1
-
58
-
-
36549009588
-
-
G.M. Weiss, F. Provost, The effect of class distribution on classifier learning: an empirical study, Technical Report ML-TR-44, Dept. of Computer Science, Rutgers University, New Brunswick, NJ, 2001.
-
-
-
-
59
-
-
0035789316
-
-
B. Zadrozny, C. Elkan, Learning and making decisions when costs and probabilities are both unknown, in: F. Provost, R. Srikant (Eds.), Proc. 7th ACM SIGKDD Int. Conf. Knowledge Discovery and Data Mining, KDD'01, San Francisco, CA, USA, 2001, pp. 204-213.
-
-
-
-
60
-
-
31344442851
-
Training cost-sensitive neural networks with methods addressing the class imbalance problem
-
Zhou Z.-H., and Liu X.-Y. Training cost-sensitive neural networks with methods addressing the class imbalance problem. IEEE Transaction on Knowledge and Data Engineering 18 1 (2006) 63-77
-
(2006)
IEEE Transaction on Knowledge and Data Engineering
, vol.18
, Issue.1
, pp. 63-77
-
-
Zhou, Z.-H.1
Liu, X.-Y.2
|