-
1
-
-
0032188308
-
Rough set theory and its application to data analysis
-
Pawlak Z. Rough set theory and its application to data analysis. Cybernetics and Systems 29 (1998) 661-688
-
(1998)
Cybernetics and Systems
, vol.29
, pp. 661-688
-
-
Pawlak, Z.1
-
2
-
-
2442713045
-
Soft data mining, computational theory of perceptions, and rough-fuzzy approach
-
Pal S.K. Soft data mining, computational theory of perceptions, and rough-fuzzy approach. Information Sciences 163 (2004) 5-12
-
(2004)
Information Sciences
, vol.163
, pp. 5-12
-
-
Pal, S.K.1
-
4
-
-
33845293418
-
Knowledge discovery for goods classification based on rough set
-
Beijing, July
-
C.H. Zeng, Y. Xu, P. Zheng, W.C. Xie, Knowledge discovery for goods classification based on rough set, in: IEEE International Conference on Granular Computing, Beijing, July 2005, pp. 334-337.
-
(2005)
IEEE International Conference on Granular Computing
, pp. 334-337
-
-
Zeng, C.H.1
Xu, Y.2
Zheng, P.3
Xie, W.C.4
-
5
-
-
33744994999
-
Integrating data mining and rough set for customer group-based discovery of product configuration rules
-
Shao X.Y., Wang Z.H., Li P.G., et al. Integrating data mining and rough set for customer group-based discovery of product configuration rules. International Journal of Production Research 44 (2006) 2789-2811
-
(2006)
International Journal of Production Research
, vol.44
, pp. 2789-2811
-
-
Shao, X.Y.1
Wang, Z.H.2
Li, P.G.3
-
6
-
-
33645961307
-
Approximate Boolean reasoning approach to rough sets and data mining
-
Springer, Berlin
-
H.S. Nguyen, Approximate Boolean reasoning approach to rough sets and data mining, in: Lecture Notes in Computer Science, Springer, Berlin, vol. 3642, 2005, pp. 12-22.
-
(2005)
Lecture Notes in Computer Science
, vol.3642
, pp. 12-22
-
-
Nguyen, H.S.1
-
7
-
-
27644456260
-
Fuzzy similarity-based rough set method for case-based reasoning and its application in tool selection
-
Jiang Y.J., Chen J., and Ruan X.Y. Fuzzy similarity-based rough set method for case-based reasoning and its application in tool selection. International Journal of Machine Tools & Manufacture 46 (2006) 107-113
-
(2006)
International Journal of Machine Tools & Manufacture
, vol.46
, pp. 107-113
-
-
Jiang, Y.J.1
Chen, J.2
Ruan, X.Y.3
-
8
-
-
27644576584
-
Granular computing, rough entropy and object extraction
-
Pal S.K., Shankar B.U., and Mitra P. Granular computing, rough entropy and object extraction. Pattern Recognition Letters 26 (2005) 2509-2517
-
(2005)
Pattern Recognition Letters
, vol.26
, pp. 2509-2517
-
-
Pal, S.K.1
Shankar, B.U.2
Mitra, P.3
-
9
-
-
33750558663
-
Semantic analysis of rough logical formulas based on granular computing
-
Atlanta, May
-
Q. Liu, J.Y. Wang, Semantic analysis of rough logical formulas based on granular computing, in: IEEE International Conference on Granular Computing, Atlanta, May 2006, pp. 393-396.
-
(2006)
IEEE International Conference on Granular Computing
, pp. 393-396
-
-
Liu, Q.1
Wang, J.Y.2
-
10
-
-
0011707094
-
Analyzing temporal patterns with rough sets
-
Aachen, Germany, September
-
W. Kowalczyk, Analyzing temporal patterns with rough sets, in: Proceedings of the 4th European Congress on Intelligent Techniques and Soft Computing (EUFIT'96), Aachen, Germany, September 1996, pp. 139-143.
-
(1996)
Proceedings of the 4th European Congress on Intelligent Techniques and Soft Computing (EUFIT'96)
, pp. 139-143
-
-
Kowalczyk, W.1
-
11
-
-
0012925335
-
Rough data modeling: a new technique for analyzing data
-
Polkowski L., and Skowron A. (Eds), Physica-Verlag, Heidelberg
-
Kowalczyk W. Rough data modeling: a new technique for analyzing data. In: Polkowski L., and Skowron A. (Eds). Rough Sets in Knowledge Discovery 1: Methodology and Applications (1998), Physica-Verlag, Heidelberg 400-421
-
(1998)
Rough Sets in Knowledge Discovery 1: Methodology and Applications
, pp. 400-421
-
-
Kowalczyk, W.1
-
14
-
-
0012925338
-
Learning rough classifiers from large database with missing values
-
Polkowski L., and Skowron A. (Eds), Physica-Verlag, Heidelberg
-
Pista Z., and Lenarcik A. Learning rough classifiers from large database with missing values. In: Polkowski L., and Skowron A. (Eds). Rough Sets and Knowledge Discovery 1: Methodology and Applications (1998), Physica-Verlag, Heidelberg 483-499
-
(1998)
Rough Sets and Knowledge Discovery 1: Methodology and Applications
, pp. 483-499
-
-
Pista, Z.1
Lenarcik, A.2
-
15
-
-
35148890400
-
A rough set framework for data mining of propositional default rules
-
Pal S.K., and Skowron A. (Eds), Springer-Verlag, Singapore
-
Mollestad T., and Komorowski J. A rough set framework for data mining of propositional default rules. In: Pal S.K., and Skowron A. (Eds). Rough-Fuzzy Hybridization: A New Trend in Decision Making (1998), Springer-Verlag, Singapore 298-316
-
(1998)
Rough-Fuzzy Hybridization: A New Trend in Decision Making
, pp. 298-316
-
-
Mollestad, T.1
Komorowski, J.2
-
17
-
-
28844457325
-
Fuzzy rough data model: a new technique for analyzing data
-
Huang J.J., Wu J.F., and Cai Y.Z. Fuzzy rough data model: a new technique for analyzing data. Chinese Journal of Computers 28 (2005) 1866-1874
-
(2005)
Chinese Journal of Computers
, vol.28
, pp. 1866-1874
-
-
Huang, J.J.1
Wu, J.F.2
Cai, Y.Z.3
-
18
-
-
21144440878
-
An approach to building rough data model through supervised fuzzy clustering
-
Huang J.J., Li S.Y., and Cai Y.Z. An approach to building rough data model through supervised fuzzy clustering. Journal of Software 16 (2005) 744-753
-
(2005)
Journal of Software
, vol.16
, pp. 744-753
-
-
Huang, J.J.1
Li, S.Y.2
Cai, Y.Z.3
-
19
-
-
15744395323
-
Rough neural network and its application to intelligent information processing
-
Zhang D.B., Wang Y.N., and Yi L.Z. Rough neural network and its application to intelligent information processing. Control and Decision 20 (2005) 121-126
-
(2005)
Control and Decision
, vol.20
, pp. 121-126
-
-
Zhang, D.B.1
Wang, Y.N.2
Yi, L.Z.3
-
20
-
-
28444482396
-
Rough set based fuzzy neural network algorithm for weather prediction
-
Guangzhou, August
-
K. Li, Y.S. Liu, Rough set based fuzzy neural network algorithm for weather prediction, in: Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Guangzhou, August 2005, pp. 1888-1892.
-
(2005)
Proceedings of 2005 International Conference on Machine Learning and Cybernetics
, pp. 1888-1892
-
-
Li, K.1
Liu, Y.S.2
-
21
-
-
84990963901
-
Combining rough set theory with neural network theory for pattern recognition
-
Changsha, October
-
C.Y. Yu, M.H. Wu, M. Wu, Combining rough set theory with neural network theory for pattern recognition, in: International Conference on Robotics, Intelligent Systems and Signal Processing, Changsha, October 2003, pp. 880-885.
-
(2003)
International Conference on Robotics, Intelligent Systems and Signal Processing
, pp. 880-885
-
-
Yu, C.Y.1
Wu, M.H.2
Wu, M.3
-
26
-
-
0025794601
-
Algebraic feature extraction of image for recognition
-
Hong Z.Q. Algebraic feature extraction of image for recognition. Pattern Recognition 24 (1991) 211-219
-
(1991)
Pattern Recognition
, vol.24
, pp. 211-219
-
-
Hong, Z.Q.1
-
27
-
-
0034503468
-
Rough sets as a front end of neural-network texture classifiers
-
Swiniarski R.W., and Hargis L. Rough sets as a front end of neural-network texture classifiers. Neurocomputing 36 (2001) 85-102
-
(2001)
Neurocomputing
, vol.36
, pp. 85-102
-
-
Swiniarski, R.W.1
Hargis, L.2
-
28
-
-
0141496226
-
Clustering of singular value decomposition of image data with applications to texture classification
-
Switzerland
-
A. Tavakoli Targhi, A. Shademan, Clustering of singular value decomposition of image data with applications to texture classification, in: Proceedings of SPIE 2003, Switzerland, 2003, pp. 972-979.
-
(2003)
Proceedings of SPIE
, pp. 972-979
-
-
Tavakoli Targhi, A.1
Shademan, A.2
-
29
-
-
0142088847
-
Texture classification using the support vector machines
-
Li S.T., Kwok J.T., Zhu H.L., and Wang Y.N. Texture classification using the support vector machines. Pattern Recognition 36 (2003) 2883-2893
-
(2003)
Pattern Recognition
, vol.36
, pp. 2883-2893
-
-
Li, S.T.1
Kwok, J.T.2
Zhu, H.L.3
Wang, Y.N.4
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