-
1
-
-
0027621699
-
Mining association rules between sets of items in large databases
-
ACM Press
-
R. Agrawal, T. Imielinski, and A.N. Swami Mining association rules between sets of items in large databases Proceedings SIGMOD'93 1993 ACM Press 207 216
-
(1993)
Proceedings SIGMOD'93
, pp. 207-216
-
-
Agrawal, R.1
Imielinski, T.2
Swami, A.N.3
-
2
-
-
84948104699
-
Integrating classification and association rule mining
-
AAAI Press
-
B. Liu, W. Hsu, and Y. Ma Integrating classification and association rule mining Proceedings KDD'98 1998 AAAI Press 80 86
-
(1998)
Proceedings KDD'98
, pp. 80-86
-
-
Liu, B.1
Hsu, W.2
Ma, Y.3
-
3
-
-
78149313084
-
CMAR: Accurate and efficient classification based on multiple class-association rules
-
IEEE Computer Society
-
W. Li, J. Han, and J. Pei CMAR: accurate and efficient classification based on multiple class-association rules Proceedings ICDM'01 2001 IEEE Computer Society 369 376
-
(2001)
Proceedings ICDM'01
, pp. 369-376
-
-
Li, W.1
Han, J.2
Pei, J.3
-
4
-
-
11344275687
-
Simplest rules characterizing classes generated by delta-free sets
-
Springer
-
B. Crémilleux, and J.-F. Boulicaut Simplest rules characterizing classes generated by delta-free sets Proceedings ES'02 2002 Springer 33 46
-
(2002)
Proceedings ES'02
, pp. 33-46
-
-
Crémilleux, B.1
Boulicaut, J.-F.2
-
5
-
-
77953985278
-
An associative classifier based on positive and negative rules
-
ACM Press
-
M.-L. Antonie, and O.R. Zaïane An associative classifier based on positive and negative rules Proceedings DMKD'04 2004 ACM Press 64 69
-
(2004)
Proceedings DMKD'04
, pp. 64-69
-
-
Antonie, M.-L.1
Zaïane, O.R.2
-
7
-
-
27144549260
-
Editorial: Special issue on learning from imbalanced data sets
-
N.V. Chawla, N. Japkowicz, and A. Kotcz Editorial: special issue on learning from imbalanced data sets ACM SIGKDD Explorations 6 1 2004 1 6
-
(2004)
ACM SIGKDD Explorations
, vol.6
, Issue.1
, pp. 1-6
-
-
Chawla, N.V.1
Japkowicz, N.2
Kotcz, A.3
-
8
-
-
33749562096
-
Discovering significant rules
-
ACM Press
-
G.I. Webb Discovering significant rules Proceedings KDD'06 2006 ACM Press 434 443
-
(2006)
Proceedings KDD'06
, pp. 434-443
-
-
Webb, G.I.1
-
9
-
-
49749113225
-
Using significant positively associated and relatively class correlated rules for associative classification of imbalanced datasets
-
IEEE Computer Society
-
F. Verhein, and S. Chawla Using significant positively associated and relatively class correlated rules for associative classification of imbalanced datasets Proceedings ICDM'07 2007 IEEE Computer Society 679 684
-
(2007)
Proceedings ICDM'07
, pp. 679-684
-
-
Verhein, F.1
Chawla, S.2
-
10
-
-
33749576324
-
CCCS: A top-down associative classifier for imbalanced class distribution
-
ACM Press
-
B. Arunasalam, and S. Chawla CCCS: a top-down associative classifier for imbalanced class distribution Proceedings KDD'06 2006 ACM Press 517 522
-
(2006)
Proceedings KDD'06
, pp. 517-522
-
-
Arunasalam, B.1
Chawla, S.2
-
11
-
-
0002034653
-
Efficient mining of emerging patterns: Discovering trends and differences
-
ACM Press
-
G. Dong, and J. Li Efficient mining of emerging patterns: discovering trends and differences Proceedings KDD'99 1999 ACM Press 43 52
-
(1999)
Proceedings KDD'99
, pp. 43-52
-
-
Dong, G.1
Li, J.2
-
12
-
-
33947224036
-
Patterns based classifiers
-
K. Ramamohanarao, and H. Fan Patterns based classifiers World Wide Web 10 1 2007 71 83
-
(2007)
World Wide Web
, vol.10
, Issue.1
, pp. 71-83
-
-
Ramamohanarao, K.1
Fan, H.2
-
13
-
-
61749084093
-
Supervised descriptive rule discovery: A unifying survey of contrast set, emerging pattern and subgroup mining
-
P.K. Novak, N. Lavrac, and G.I. Webb Supervised descriptive rule discovery: a unifying survey of contrast set, emerging pattern and subgroup mining Journal of Machine Learning Research 10 2009 377 403
-
(2009)
Journal of Machine Learning Research
, vol.10
, pp. 377-403
-
-
Novak, P.K.1
Lavrac, N.2
Webb, G.I.3
-
15
-
-
33749319347
-
Interestingness measures for data mining: A survey
-
L. Geng, and H.J. Hamilton Interestingness measures for data mining: a survey ACM Computing Surveys 38 3 2006
-
(2006)
ACM Computing Surveys
, vol.38
, Issue.3
-
-
Geng, L.1
Hamilton, H.J.2
-
17
-
-
0032092760
-
Exploratory mining and pruning optimizations of constrained association rules
-
ACM Press
-
R.T. Ng, L.V.S. Lakshmanan, J. Han, and A. Pang Exploratory mining and pruning optimizations of constrained association rules Proceedings SIGMOD'98 1998 ACM Press 13 24
-
(1998)
Proceedings SIGMOD'98
, pp. 13-24
-
-
Ng, R.T.1
Lakshmanan, L.V.S.2
Han, J.3
Pang, A.4
-
18
-
-
0033892546
-
Efficient mining of constrained correlated sets
-
IEEE Computer Society
-
G. Grahne, L.V.S. Lakshmanan, and X. Wang Efficient mining of constrained correlated sets Proceedings ICDE'00 2000 IEEE Computer Society 512 521
-
(2000)
Proceedings ICDE'00
, pp. 512-521
-
-
Grahne, G.1
Lakshmanan, L.V.S.2
Wang, X.3
-
19
-
-
0034592924
-
Can we push more constraints into frequent pattern mining?
-
ACM Press
-
J. Pei, and J. Han Can we push more constraints into frequent pattern mining? Proceedings KDD'00 2000 ACM Press 350 354
-
(2000)
Proceedings KDD'00
, pp. 350-354
-
-
Pei, J.1
Han, J.2
-
20
-
-
11344262990
-
CPAR: Classification based on predictive association rules
-
X. Yin, and J. Han CPAR: classification based on predictive association rules Proceedings SDM'03, SIAM 2003 369 376
-
(2003)
Proceedings SDM'03, SIAM
, pp. 369-376
-
-
Yin, X.1
Han, J.2
-
22
-
-
1242352538
-
DeEPs: A new instance-based lazy discovery and classification system
-
J. Li, G. Dong, K. Ramamohanarao, and L. Wong DeEPs: a new instance-based lazy discovery and classification system Machine Learning 54 2 2004 99 124
-
(2004)
Machine Learning
, vol.54
, Issue.2
, pp. 99-124
-
-
Li, J.1
Dong, G.2
Ramamohanarao, K.3
Wong, L.4
-
23
-
-
85149612939
-
Fast effective rule induction
-
Morgan Kaufmann
-
W.W. Cohen Fast effective rule induction Proceedings ICML'95 1995 Morgan Kaufmann 115 123
-
(1995)
Proceedings ICML'95
, pp. 115-123
-
-
Cohen, W.W.1
-
25
-
-
55549103698
-
KEEL: A software tool to assess evolutionary algorithms for data mining problems
-
J. Alcalá-Fdez, L. Sánchez, S. García, M. del Jesus, S. Ventura, J. Garrell, J. Otero, C. Romero, J. Bacardit, V. Rivas, J. Fernández, and F. Herrera KEEL: a software tool to assess evolutionary algorithms for data mining problems Soft Computing - A Fusion of Foundations, Methodologies and Applications 13 3 2009 307 318
-
(2009)
Soft Computing - A Fusion of Foundations, Methodologies and Applications
, vol.13
, Issue.3
, pp. 307-318
-
-
Alcalá-Fdez, J.1
Sánchez, L.2
García, S.3
Del Jesus, M.4
Ventura, S.5
Garrell, J.6
Otero, J.7
Romero, C.8
Bacardit, J.9
Rivas, V.10
Fernández, J.11
Herrera, F.12
-
27
-
-
0002593344
-
Multi-interval discretization of continous-valued attributes for classification learning
-
Morgan Kaufmann
-
U.M. Fayyad, and K.B. Irani Multi-interval discretization of continous-valued attributes for classification learning Proceedings IJCAI'93 1993 Morgan Kaufmann 1022 1027
-
(1993)
Proceedings IJCAI'93
, pp. 1022-1027
-
-
Fayyad, U.M.1
Irani, K.B.2
-
28
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
J. Demsar Statistical comparisons of classifiers over multiple data sets Journal of Machine Learning Research 7 2006 1 30
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1-30
-
-
Demsar, J.1
-
30
-
-
85152557036
-
Incremental reduced error pruning
-
Morgan Kaufmann
-
J. Fürnkranz, and G. Widmer Incremental reduced error pruning Proceedings ICML'94 1994 Morgan Kaufmann 70 77
-
(1994)
Proceedings ICML'94
, pp. 70-77
-
-
Fürnkranz, J.1
Widmer, G.2
-
31
-
-
84857462987
-
Classification rule learning with APRIORI-C
-
Springer
-
V. Jovanoski, and N. Lavrac Classification rule learning with APRIORI-C Proceedings EPIA'01 2001 Springer 44 51
-
(2001)
Proceedings EPIA'01
, pp. 44-51
-
-
Jovanoski, V.1
Lavrac, N.2
-
32
-
-
78149287585
-
Text document categorization by term association
-
IEEE Computer Society
-
M.-L. Antonie, and O.R. Zaïane Text document categorization by term association Proceedings ICDM'02 2002 IEEE Computer Society 19 26
-
(2002)
Proceedings ICDM'02
, pp. 19-26
-
-
Antonie, M.-L.1
Zaïane, O.R.2
-
33
-
-
0001882616
-
Fast algorithms for mining association rules in large databases
-
Morgan Kaufmann
-
R. Agrawal, and R. Srikant Fast algorithms for mining association rules in large databases Proceedings VLDB'94 1994 Morgan Kaufmann 487 499
-
(1994)
Proceedings VLDB'94
, pp. 487-499
-
-
Agrawal, R.1
Srikant, R.2
-
34
-
-
0039253846
-
Mining frequent patterns without candidate generation
-
W. Chen, J.F. Naughton, P.A. Bernstein, ACM Press
-
J. Han, J. Pei, and Y. Yin Mining frequent patterns without candidate generation W. Chen, J.F. Naughton, P.A. Bernstein, Proceedings SIGMOD'00 2000 ACM Press 1 12
-
(2000)
Proceedings SIGMOD'00
, pp. 1-12
-
-
Han, J.1
Pei, J.2
Yin, Y.3
-
35
-
-
35048837125
-
CAEP: Classification by aggregating emerging patterns
-
Springer
-
G. Dong, X. Zhang, L. Wong, and J. Li CAEP: classification by aggregating emerging patterns Proceedings DS'99 1999 Springer 30 42
-
(1999)
Proceedings DS'99
, pp. 30-42
-
-
Dong, G.1
Zhang, X.2
Wong, L.3
Li, J.4
-
36
-
-
85053374465
-
Making use of the most expressive jumping emerging patterns for classification
-
J. Li, G. Dong, and K. Ramamohanarao Making use of the most expressive jumping emerging patterns for classification Knowledge and Information Systems 3 2 2001 131 145
-
(2001)
Knowledge and Information Systems
, vol.3
, Issue.2
, pp. 131-145
-
-
Li, J.1
Dong, G.2
Ramamohanarao, K.3
-
38
-
-
33646390384
-
Fast discovery and the generalization of strong jumping emerging patterns for building compact and accurate classifiers
-
H. Fan, and K. Ramamohanarao Fast discovery and the generalization of strong jumping emerging patterns for building compact and accurate classifiers IEEE Transactions on Knowledge and Data Engineering 18 6 2006 721 737
-
(2006)
IEEE Transactions on Knowledge and Data Engineering
, vol.18
, Issue.6
, pp. 721-737
-
-
Fan, H.1
Ramamohanarao, K.2
-
39
-
-
38049160552
-
Efficient pairwise classification
-
Springer
-
S.-H. Park, and J. Fürnkranz Efficient pairwise classification Proceedings ECML'07 2007 Springer 658 665
-
(2007)
Proceedings ECML'07
, pp. 658-665
-
-
Park, S.-H.1
Fürnkranz, J.2
-
41
-
-
0036522693
-
Strategies for learning in class imbalance problems
-
R. Barandela, J.S. Sánchez, V. García, and E. Rangel Strategies for learning in class imbalance problems Pattern Recognition 36 3 2003 849 851
-
(2003)
Pattern Recognition
, vol.36
, Issue.3
, pp. 849-851
-
-
Barandela, R.1
Sánchez, J.S.2
García, V.3
Rangel, E.4
-
43
-
-
71749101234
-
Knowledge discovery from imbalanced and noisy data
-
J.V. Hulse, and T. Khoshgoftaar Knowledge discovery from imbalanced and noisy data Data & Knowledge Engineering 68 12 2009 1513 1542
-
(2009)
Data & Knowledge Engineering
, vol.68
, Issue.12
, pp. 1513-1542
-
-
Hulse, J.V.1
Khoshgoftaar, T.2
-
45
-
-
0036565589
-
An instance-weighting method to induce cost-sensitive trees
-
K.M. Ting 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
-
46
-
-
33749245586
-
Cost-sensitive learning by cost-proportionate example weighting
-
B. Zadrozny, J. Langford, and N. Abe Cost-sensitive learning by cost-proportionate example weighting ICDM'03 2003 435 442
-
(2003)
ICDM'03
, pp. 435-442
-
-
Zadrozny, B.1
Langford, J.2
Abe, N.3
-
47
-
-
0344324689
-
Metacost: A general method for making classifiers cost-sensitive
-
P. Domingos Metacost: a general method for making classifiers cost-sensitive KDD'99 1999 155 164
-
(1999)
KDD'99
, pp. 155-164
-
-
Domingos, P.1
-
48
-
-
34547673383
-
Cost-sensitive boosting for classification of imbalanced data
-
Y. Sun, M.S. Kamel, A.K.C. Wong, and Y. Wang Cost-sensitive boosting for classification of imbalanced data Pattern Recognition 40 12 2007 3358 3378
-
(2007)
Pattern Recognition
, vol.40
, Issue.12
, pp. 3358-3378
-
-
Sun, Y.1
Kamel, M.S.2
Wong, A.K.C.3
Wang, Y.4
-
49
-
-
78650217625
-
Cost sensitive classification in data mining
-
Z. Qin, C. Zhang, T. Wang, and S. Zhang Cost sensitive classification in data mining ADMA'10 2010 1 11
-
(2010)
ADMA'10
, pp. 1-11
-
-
Qin, Z.1
Zhang, C.2
Wang, T.3
Zhang, S.4
-
50
-
-
84974710130
-
Improving an association rule based classifier
-
B. Liu, Y. Ma, and C.K. Wong Improving an association rule based classifier PKDD'00 2000 504 509
-
(2000)
PKDD'00
, pp. 504-509
-
-
Liu, B.1
Ma, Y.2
Wong, C.K.3
-
51
-
-
0035789316
-
Learning and making decisions when costs and probabilities are both unknown
-
B. Zadrozny, and C. Elkan Learning and making decisions when costs and probabilities are both unknown KDD'01 2001 204 213
-
(2001)
KDD'01
, pp. 204-213
-
-
Zadrozny, B.1
Elkan, C.2
-
52
-
-
44649183291
-
A comparison of different off-centered entropies to deal with class imbalance for decision trees
-
P. Lenca, S. Lallich, T.-N. Do, and N.-K. Pham A comparison of different off-centered entropies to deal with class imbalance for decision trees PAKDD'08 2008 634 643
-
(2008)
PAKDD'08
, pp. 634-643
-
-
Lenca, P.1
Lallich, S.2
Do, T.-N.3
Pham, N.-K.4
-
53
-
-
84856621489
-
Hellinger distance decision trees are robust and skew-insensitive
-
D.A. Cieslak, T.R. Hoens, N.V. Chawla, and W.P. Kegelmeyer Hellinger distance decision trees are robust and skew-insensitive Data Mining and Knowledge Discovery 24 1 2012 136 158
-
(2012)
Data Mining and Knowledge Discovery
, vol.24
, Issue.1
, pp. 136-158
-
-
Cieslak, D.A.1
Hoens, T.R.2
Chawla, N.V.3
Kegelmeyer, W.P.4
-
54
-
-
78650207592
-
Classification of imbalanced data by combining the complementary neural network and smote algorithm
-
Lecture Notes in Computer Science K.W. Wong, B.S.U. Mendis, A. Bouzerdoum, Springer
-
P. Jeatrakul, K.W. Wong, and C.C. Fung Classification of imbalanced data by combining the complementary neural network and smote algorithm K.W. Wong, B.S.U. Mendis, A. Bouzerdoum, ICONIP (2), Vol. 6444 of Lecture Notes in Computer Science 2010 Springer 152 159
-
(2010)
ICONIP
, vol.6444
, Issue.2
, pp. 152-159
-
-
Jeatrakul, P.1
Wong, K.W.2
Fung, C.C.3
-
55
-
-
80755169412
-
A learning strategy for highly imbalanced classification
-
C. Xu, R. Steinmetz, A. El-Saddik, C.-W. Ngo, X. Wu
-
T. Liu, Y. Liang, and W. Ni A learning strategy for highly imbalanced classification C. Xu, R. Steinmetz, A. El-Saddik, C.-W. Ngo, X. Wu, ICIMCS, ACM International Conference Proceeding Series, ACM 2011 116 119
-
(2011)
ICIMCS, ACM International Conference Proceeding Series, ACM
, pp. 116-119
-
-
Liu, T.1
Liang, Y.2
Ni, W.3
-
56
-
-
80555154408
-
On equivalence relationships between classification and ranking algorithms
-
S. Ertekin, and C. Rudin On equivalence relationships between classification and ranking algorithms Journal of Machine Learning Research 12 2011 2905 2929
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 2905-2929
-
-
Ertekin, S.1
Rudin, C.2
-
59
-
-
43249119614
-
Computing the minimum-support for mining frequent patterns
-
S. Zhang, X. Wu, C. Zhang, and J. Lu Computing the minimum-support for mining frequent patterns Knowledge and Information Systems 15 2 2008 233 257
-
(2008)
Knowledge and Information Systems
, vol.15
, Issue.2
, pp. 233-257
-
-
Zhang, S.1
Wu, X.2
Zhang, C.3
Lu, J.4
-
60
-
-
33846199228
-
The effect of threshold values on association rule based classification accuracy
-
F. Coenen, and P.H. Leng The effect of threshold values on association rule based classification accuracy Data & Knowledge Engineering 60 2 2007 345 360
-
(2007)
Data & Knowledge Engineering
, vol.60
, Issue.2
, pp. 345-360
-
-
Coenen, F.1
Leng, P.H.2
-
61
-
-
50549101751
-
Automatically countering imbalance and its empirical relationship to cost
-
N.V. Chawla, D.A. Cieslak, L.O. Hall, and A. Joshi Automatically countering imbalance and its empirical relationship to cost Data Mining and Knowledge Discovery 17 2 2008 225 252
-
(2008)
Data Mining and Knowledge Discovery
, vol.17
, Issue.2
, pp. 225-252
-
-
Chawla, N.V.1
Cieslak, D.A.2
Hall, L.O.3
Joshi, A.4
|