-
1
-
-
84862797823
-
Maintenance of approximations in incomplete ordered decision systems while attribute values coarsening or refining
-
10.1016/j.knosys.2012.03.001
-
Chen H, Li TR, Ruan D (2012) Maintenance of approximations in incomplete ordered decision systems while attribute values coarsening or refining. Knowl-Based Syst 31:140-161
-
(2012)
Knowl-Based Syst
, vol.31
, pp. 140-161
-
-
Chen, H.1
Li, T.R.2
Ruan, D.3
-
2
-
-
82255174912
-
From data to global generalized knowledge
-
10.1016/j.dss.2011.08.005
-
Chen YL, Wu YY, Chang RI (2007) From data to global generalized knowledge. Decis Support Syst 52(2):295-307
-
(2007)
Decis Support Syst
, vol.52
, Issue.2
, pp. 295-307
-
-
Chen, Y.L.1
Wu, Y.Y.2
Chang, R.I.3
-
3
-
-
84855558393
-
Cluster-based instance selection for machine classification
-
10.1007/s10115-010-0375-z
-
Czarnowski I (2012) Cluster-based instance selection for machine classification. Knowl Inf Syst 30(1):113-133
-
(2012)
Knowl Inf Syst
, vol.30
, Issue.1
, pp. 113-133
-
-
Czarnowski, I.1
-
4
-
-
38649122703
-
Learning structured Bayesian networks: Combining abstraction hierarchies and tree-structured conditional probability
-
2383980 10.1111/j.1467-8640.2007.00320.x
-
DesJardins M, Rathod P, Getoor L (2008) Learning structured Bayesian networks: combining abstraction hierarchies and tree-structured conditional probability. Comput Intell 24(1):1-22
-
(2008)
Comput Intell
, vol.24
, Issue.1
, pp. 1-22
-
-
Desjardins, M.1
Rathod, P.2
Getoor, L.3
-
5
-
-
84862152671
-
Improving classification performance of support vector machine by genetically optimising kernel shape and hyper-parameters
-
10.1007/s10489-010-0260-1
-
Dioşan L, Rogozan A, Pecuchet JP (2012) Improving classification performance of support vector machine by genetically optimising kernel shape and hyper-parameters. Appl Intell 36:280-294
-
(2012)
Appl Intell
, vol.36
, pp. 280-294
-
-
Dioşan, L.1
Rogozan, A.2
Pecuchet, J.P.3
-
6
-
-
79957534578
-
A vague-rough set approach for uncertain knowledge acquisition
-
10.1016/j.knosys.2011.03.005
-
Feng L, Li TR, Ruan D, Gou S (2011) A vague-rough set approach for uncertain knowledge acquisition. Knowl-Based Syst 24(6):837-843
-
(2011)
Knowl-Based Syst
, vol.24
, Issue.6
, pp. 837-843
-
-
Feng, L.1
Li, T.R.2
Ruan, D.3
Gou, S.4
-
7
-
-
70449534752
-
Hierarchical decision rules mining
-
10.1016/j.eswa.2009.06.065
-
Feng Q, Miao D, Cheng Y (2010) Hierarchical decision rules mining. Expert Syst Appl 37(3):2081-2091
-
(2010)
Expert Syst Appl
, vol.37
, Issue.3
, pp. 2081-2091
-
-
Feng, Q.1
Miao, D.2
Cheng, Y.3
-
8
-
-
81855161547
-
Feature subset selection wrapper based on mutual information and rough sets
-
10.1016/j.eswa.2011.07.048
-
Foithong S, Pinngern O, Attachoo B (2012) Feature subset selection wrapper based on mutual information and rough sets. Expert Syst Appl 39(1):574-584
-
(2012)
Expert Syst Appl
, vol.39
, Issue.1
, pp. 574-584
-
-
Foithong, S.1
Pinngern, O.2
Attachoo, B.3
-
9
-
-
0032180332
-
Rough computational methods for information systems
-
10.1016/S0004-3702(98)00090-3
-
Guan JW, Bell DA (1998) Rough computational methods for information systems. Artif Intell 105(1/2):77-103
-
(1998)
Artif Intell
, vol.105
, Issue.12
, pp. 77-103
-
-
Guan, J.W.1
Bell, D.A.2
-
10
-
-
67549086086
-
Attribute reduction and optimal decision rules acquisition for continuous valued information systems
-
2547764 10.1016/j.ins.2009.04.017
-
Guan YY, Wang HK, Wang Y, Yang F (2009) Attribute reduction and optimal decision rules acquisition for continuous valued information systems. Inf Sci 179(17):2974-2984
-
(2009)
Inf Sci
, vol.179
, Issue.17
, pp. 2974-2984
-
-
Guan, Y.Y.1
Wang, H.K.2
Wang, Y.3
Yang, F.4
-
12
-
-
34147132802
-
Utilizing hierarchical feature domain values for prediction
-
10.1016/j.datak.2006.06.018
-
Han Y, Lam W (2007) Utilizing hierarchical feature domain values for prediction. Data Knowl Eng 61(3):540-553
-
(2007)
Data Knowl Eng
, vol.61
, Issue.3
, pp. 540-553
-
-
Han, Y.1
Lam, W.2
-
13
-
-
80052970383
-
Rough sets for adapting wavelet neural networks as a new classifier system
-
10.1007/s10489-010-0218-3
-
Hassan YF (2011) Rough sets for adapting wavelet neural networks as a new classifier system. Appl Intell 35(2):260-268
-
(2011)
Appl Intell
, vol.35
, Issue.2
, pp. 260-268
-
-
Hassan, Y.F.1
-
14
-
-
37349011312
-
Learning cross-level certain and possible rules by rough sets
-
10.1016/j.eswa.2007.01.038
-
Hong TP, Lin CE, Lin JH, Wang SL (2008) Learning cross-level certain and possible rules by rough sets. Expert Syst Appl 34(3):1698-1706
-
(2008)
Expert Syst Appl
, vol.34
, Issue.3
, pp. 1698-1706
-
-
Hong, T.P.1
Lin, C.E.2
Lin, J.H.3
Wang, S.L.4
-
15
-
-
58349104766
-
Fuzzy rough sets with hierarchical quantitative attribute
-
10.1016/j.eswa.2008.08.069
-
Hong TP, Liou YL, Wang SL (2009) Fuzzy rough sets with hierarchical quantitative attribute. Expert Syst Appl 36(3):6790-6799
-
(2009)
Expert Syst Appl
, vol.36
, Issue.3
, pp. 6790-6799
-
-
Hong, T.P.1
Liou, Y.L.2
Wang, S.L.3
-
16
-
-
0035509609
-
Discovering maximal generalized decision rules through horizontal and vertical data reduction
-
10.1111/0824-7935.00169
-
Hu XH, Cercone N (2001) Discovering maximal generalized decision rules through horizontal and vertical data reduction. Comput Intell 17(4):685-702
-
(2001)
Comput Intell
, vol.17
, Issue.4
, pp. 685-702
-
-
Hu, X.H.1
Cercone, N.2
-
17
-
-
57649221339
-
Attribute value taxonomy generation through matrix based adaptive genetic algorithm
-
1
-
Jo H, Na Y, Oh B, Yang J, Honavar V (2011) Attribute value taxonomy generation through matrix based adaptive genetic algorithm. In: Proceedings of the 20th IEEE international conference on tools with artificial intelligence, vol 1, pp 393-400
-
(2011)
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence
, pp. 393-400
-
-
Jo, H.1
Na, Y.2
Oh, B.3
Yang, J.4
Honavar, V.5
-
18
-
-
79958001551
-
Propositionalized attribute taxonomies from data for data-driven construction of concise classifiers
-
10.1016/j.eswa.2011.04.062
-
Kang DK, Kim MJ (2011) Propositionalized attribute taxonomies from data for data-driven construction of concise classifiers. Expert Syst Appl 38(10):12739-12746
-
(2011)
Expert Syst Appl
, vol.38
, Issue.10
, pp. 12739-12746
-
-
Kang, D.K.1
Kim, M.J.2
-
20
-
-
51649083150
-
Learning decision trees with taxonomy of propositionalized attributes
-
10.1016/j.patcog.2008.07.009
-
Kang DK, Sohn K (2009) Learning decision trees with taxonomy of propositionalized attributes. Pattern Recognit 42(1):84-92
-
(2009)
Pattern Recognit
, vol.42
, Issue.1
, pp. 84-92
-
-
Kang, D.K.1
Sohn, K.2
-
21
-
-
34248165925
-
A rough sets based characteristic relation approach for dynamic attribute generalization in data mining
-
10.1016/j.knosys.2007.01.002
-
Li T, Ruan D, Geert W, Song J, Xu Y (2007) A rough sets based characteristic relation approach for dynamic attribute generalization in data mining. Knowl-Based Syst 20(5):485-494
-
(2007)
Knowl-Based Syst
, vol.20
, Issue.5
, pp. 485-494
-
-
Li, T.1
Ruan, D.2
Geert, W.3
Song, J.4
Xu, Y.5
-
22
-
-
84861643215
-
Graded rough set model based on two universes and its properties
-
10.1016/j.knosys.2012.02.012
-
Liu C, Miao D, Zhang N (2012) Graded rough set model based on two universes and its properties. Knowl-Based Syst 33:65-72
-
(2012)
Knowl-Based Syst
, vol.33
, pp. 65-72
-
-
Liu, C.1
Miao, D.2
Zhang, N.3
-
23
-
-
76749110434
-
A distance measure approach to exploring the rough set boundary region for attribute reduction
-
10.1109/TKDE.2009.119
-
Parthalain N, Shen Q, Jensen R (2010) A distance measure approach to exploring the rough set boundary region for attribute reduction. IEEE Trans Knowl Data Eng 22(3):305-317
-
(2010)
IEEE Trans Knowl Data Eng
, vol.22
, Issue.3
, pp. 305-317
-
-
Parthalain, N.1
Shen, Q.2
Jensen, R.3
-
24
-
-
27744565978
-
Rough sets
-
703291 10.1007/BF01001956
-
Pawlak Z (1982) Rough sets. Int J Comput Inf Sci 11(5):341-356
-
(1982)
Int J Comput Inf Sci
, vol.11
, Issue.5
, pp. 341-356
-
-
Pawlak, Z.1
-
25
-
-
33749667344
-
Rough sets: Some extensions
-
2272733 10.1016/j.ins.2006.06.006
-
Pawlak Z, Skowron A (2007) Rough sets: some extensions. Inf Sci 177(1):28-40
-
(2007)
Inf Sci
, vol.177
, Issue.1
, pp. 28-40
-
-
Pawlak, Z.1
Skowron, A.2
-
26
-
-
40649117648
-
Converse approximation and rule extraction from decision tables in rough set theory
-
2405178 10.1016/j.camwa.2007.08.031
-
Qian YH, Liang JY, Dang CY (2008) Converse approximation and rule extraction from decision tables in rough set theory. Comput Math Appl 55(8):1754-1765
-
(2008)
Comput Math Appl
, vol.55
, Issue.8
, pp. 1754-1765
-
-
Qian, Y.H.1
Liang, J.Y.2
Dang, C.Y.3
-
27
-
-
77951118185
-
Positive approximation: An accelerator for attribute reduction in rough set theory
-
2666515 10.1016/j.artint.2010.04.018
-
Qian YH, Liang JY, Pedrycz W, Dang CY (2010) Positive approximation: an accelerator for attribute reduction in rough set theory. Artif Intell 174(9/10):597-618
-
(2010)
Artif Intell
, vol.174
, Issue.910
, pp. 597-618
-
-
Qian, Y.H.1
Liang, J.Y.2
Pedrycz, W.3
Dang, C.Y.4
-
28
-
-
79953066019
-
An efficient accelerator for attribute reduction from incomplete data in rough set framework
-
10.1016/j.patcog.2011.02.020
-
Qian YH, Liang JY, Pedrycz W, Dang CY (2011) An efficient accelerator for attribute reduction from incomplete data in rough set framework. Pattern Recognit 44(8):1658-1670
-
(2011)
Pattern Recognit
, vol.44
, Issue.8
, pp. 1658-1670
-
-
Qian, Y.H.1
Liang, J.Y.2
Pedrycz, W.3
Dang, C.Y.4
-
29
-
-
84867715887
-
â̂ - : A hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory
-
10.1007/s10115-011-0465-6
-
â̂ - : a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory. Knowl Inf Syst 33(2):245-265
-
(2012)
Knowl Inf Syst
, vol.33
, Issue.2
, pp. 245-265
-
-
Ramentol, E.1
Caballero, Y.2
Bello, R.3
Herrera, F.4
-
30
-
-
0002442707
-
Discovering hierarchical decision rules with evolutive algorithms in supervised learning
-
Riquelme JC, Aguilar JS, Toro M (2000) Discovering hierarchical decision rules with evolutive algorithms in supervised learning. Int J Comput Syst Signals 1(1):73-84
-
(2000)
Int J Comput Syst Signals
, vol.1
, Issue.1
, pp. 73-84
-
-
Riquelme, J.C.1
Aguilar, J.S.2
Toro, M.3
-
31
-
-
84864307155
-
Decision trees for uplift modeling with single and multiple treatments
-
10.1007/s10115-011-0434-0
-
Rzepakowski P, Jaroszewicz S (2012) Decision trees for uplift modeling with single and multiple treatments. Knowl Inf Syst 32(2):303-327
-
(2012)
Knowl Inf Syst
, vol.32
, Issue.2
, pp. 303-327
-
-
Rzepakowski, P.1
Jaroszewicz, S.2
-
32
-
-
84855549012
-
A general insight into the effect of neuron structure on classification [J]
-
10.1007/s10115-011-0392-6
-
Sadoghi Yazdi H, Rowhanimanesh A, Modares H (2012) A general insight into the effect of neuron structure on classification [J]. Knowl Inf Syst 30(1):135-154
-
(2012)
Knowl Inf Syst
, vol.30
, Issue.1
, pp. 135-154
-
-
Sadoghi Yazdi, H.1
Rowhanimanesh, A.2
Modares, H.3
-
33
-
-
78649324885
-
Rough set based approaches to feature selection for case-based reasoning classifiers
-
10.1016/j.patrec.2010.08.013
-
Salamó M, López-Sánchez M (2011) Rough set based approaches to feature selection for case-based reasoning classifiers. Pattern Recognit Lett 32(2):280-292
-
(2011)
Pattern Recognit Lett
, vol.32
, Issue.2
, pp. 280-292
-
-
Salamó, M.1
López-Sánchez, M.2
-
34
-
-
0031270195
-
Mining generalized association rules
-
10.1016/S0167-739X(97)00019-8
-
Srikant R, Agrawal R (1997) Mining generalized association rules. Future Gener Comput Syst 13(2):161-180
-
(1997)
Future Gener Comput Syst
, vol.13
, Issue.2
, pp. 161-180
-
-
Srikant, R.1
Agrawal, R.2
-
35
-
-
0037316513
-
Automated extraction of hierarchical decision rules from clinical databases using rough set model
-
10.1016/S0957-4174(02)00142-2
-
Tsumoto S (2003) Automated extraction of hierarchical decision rules from clinical databases using rough set model. Expert Syst Appl 24(2):189-197
-
(2003)
Expert Syst Appl
, vol.24
, Issue.2
, pp. 189-197
-
-
Tsumoto, S.1
-
36
-
-
79956123704
-
Hybrid ensemble approach for classification
-
10.1007/s10489-009-0194-7
-
Verma B, Hassan SZ (2011) Hybrid ensemble approach for classification. Appl Intell 34(2):258-278
-
(2011)
Appl Intell
, vol.34
, Issue.2
, pp. 258-278
-
-
Verma, B.1
Hassan, S.Z.2
-
37
-
-
84862536593
-
A novel feature selection method based on normalized mutual information
-
10.1007/s10489-011-0315-y
-
Vinh LT, Lee S, Park YT, d'Auriol BJ (2012) A novel feature selection method based on normalized mutual information. Appl Intell 37(1):100-120
-
(2012)
Appl Intell
, vol.37
, Issue.1
, pp. 100-120
-
-
Vinh, L.T.1
Lee, S.2
Park, Y.T.3
D'Auriol, B.J.4
-
38
-
-
84860917481
-
Improvement of neural network classifier using floating centroids
-
10.1007/s10115-011-0410-8
-
Wang L, Yang B, Chen Y, et al. (2012) Improvement of neural network classifier using floating centroids. Knowl Inf Syst 31(3):433-454
-
(2012)
Knowl Inf Syst
, vol.31
, Issue.3
, pp. 433-454
-
-
Wang, L.1
Yang, B.2
Chen, Y.3
-
39
-
-
0001127246
-
On optimal decision rules in decision tables
-
Wang SKM, Ziarko W (1985) On optimal decision rules in decision tables. Bull Pol Acad Sci 33(11-12):693-696
-
(1985)
Bull Pol Acad Sci
, vol.33
, Issue.11-12
, pp. 693-696
-
-
Wang, S.K.M.1
Ziarko, W.2
-
40
-
-
45849092954
-
Attribute reduction in decision-theoretic rough set models
-
2436407 10.1016/j.ins.2008.05.010
-
Yao Y, Zhao Y (2008) Attribute reduction in decision-theoretic rough set models. Inf Sci 178(17):3356-3373
-
(2008)
Inf Sci
, vol.178
, Issue.17
, pp. 3356-3373
-
-
Yao, Y.1
Zhao, Y.2
-
41
-
-
84875248895
-
Anonymizing classification data using rough set theory
-
10.1016/j.knosys.2013.01.007
-
Ye MQ, Wu XD, Hu XG, Hu DH (2013) Anonymizing classification data using rough set theory. Knowl-Based Syst. doi: 10.1016/j.knosys.2013.01.007
-
(2013)
Knowl-Based Syst.
-
-
Ye, M.Q.1
Wu, X.D.2
Hu, X.G.3
Hu, D.H.4
-
42
-
-
33644505547
-
Learning accurate and concise naive Bayes classifiers from attribute value taxonomies and data
-
10.1007/s10115-005-0211-z
-
Zhang J, Kang DK, Silvescu A, Honavar V (2006) Learning accurate and concise naive Bayes classifiers from attribute value taxonomies and data. Knowl Inf Syst 9(2):157-179
-
(2006)
Knowl Inf Syst
, vol.9
, Issue.2
, pp. 157-179
-
-
Zhang, J.1
Kang, D.K.2
Silvescu, A.3
Honavar, V.4
-
43
-
-
79953830578
-
Building a highly-compact and accurate associative classifier
-
10.1007/s10489-009-0181-z
-
Zhang X, Chen G, Wei Q (2011) Building a highly-compact and accurate associative classifier. Appl Intell 34(1):74-86
-
(2011)
Appl Intell
, vol.34
, Issue.1
, pp. 74-86
-
-
Zhang, X.1
Chen, G.2
Wei, Q.3
-
44
-
-
0242384171
-
Acquisition of hierarchy-structured probabilistic decision tables and rules from data
-
10.1111/1468-0394.00255
-
Ziarko W (2003) Acquisition of hierarchy-structured probabilistic decision tables and rules from data. Expert Syst 20(5):305-310
-
(2003)
Expert Syst
, vol.20
, Issue.5
, pp. 305-310
-
-
Ziarko, W.1
|