-
3
-
-
35048868300
-
Generating compact rough cluster descriptions using an evolutionary algorithm
-
LNCS Springer-Verlag, London, UK
-
Voges K.E., and Pope N.K.L. Generating compact rough cluster descriptions using an evolutionary algorithm. Genetic and Evolutionary Algorithm Conference (2004), LNCS Springer-Verlag, London, UK 1332-1333
-
(2004)
Genetic and Evolutionary Algorithm Conference
, pp. 1332-1333
-
-
Voges, K.E.1
Pope, N.K.L.2
-
6
-
-
34447341411
-
Cluster analysis of marketing data examining online shopping orientation: a comparison of k-means and rough clustering approaches
-
Abbass H.A., Sarker R.A., and Newton C.S. (Eds), Idea Group Publishing, Hershey
-
Voges K.E., Pope N.K.L., and Brown M.R. Cluster analysis of marketing data examining online shopping orientation: a comparison of k-means and rough clustering approaches. In: Abbass H.A., Sarker R.A., and Newton C.S. (Eds). Heuristics and Optimization for Knowledge Discovery (2002), Idea Group Publishing, Hershey 207-224
-
(2002)
Heuristics and Optimization for Knowledge Discovery
, pp. 207-224
-
-
Voges, K.E.1
Pope, N.K.L.2
Brown, M.R.3
-
7
-
-
34447327483
-
-
A. Joshi, R. Krishnapuram, Robust fuzzy clustering methods to support web mining, in: Workshop in Data Mining and Knowledge Discovery, SIGMOD, 1998, pp. 15-1-15-8.
-
-
-
-
8
-
-
3543125904
-
An indiscernibility-based clustering method with iterative refinement of equivalence relations -rough clustering
-
Hirano S., and Tsumoto S. An indiscernibility-based clustering method with iterative refinement of equivalence relations -rough clustering. Journal of Advanced Computational Intelligence and Intelligent Informatics 7 2 (2003) 169-177
-
(2003)
Journal of Advanced Computational Intelligence and Intelligent Informatics
, vol.7
, Issue.2
, pp. 169-177
-
-
Hirano, S.1
Tsumoto, S.2
-
10
-
-
34447297503
-
A rough set theoretic approach to clustering
-
De S.K. A rough set theoretic approach to clustering. Fundamenta Informaticae 7 2 (1999) 335-344
-
(1999)
Fundamenta Informaticae
, vol.7
, Issue.2
, pp. 335-344
-
-
De, S.K.1
-
11
-
-
34447303287
-
Web usage mining using rough agglomerative clustering
-
LNCS Springer-Verlag, London, UK
-
Kumar P., Krishna P.R., De S.K., and Bapi R.S. Web usage mining using rough agglomerative clustering. Seventh International Conference on Enterprise Information System (2005), LNCS Springer-Verlag, London, UK 315-320
-
(2005)
Seventh International Conference on Enterprise Information System
, pp. 315-320
-
-
Kumar, P.1
Krishna, P.R.2
De, S.K.3
Bapi, R.S.4
-
13
-
-
5044226706
-
Clustering web transactions using rough approximation
-
De S.K., and Krishna P.R. Clustering web transactions using rough approximation. Fuzzy Sets and Systems 148 1 (2004) 131-138
-
(2004)
Fuzzy Sets and Systems
, vol.148
, Issue.1
, pp. 131-138
-
-
De, S.K.1
Krishna, P.R.2
-
14
-
-
34447301996
-
Finding dependency of attributes in information system
-
De S.K., Biswas R., and Roy A.R. Finding dependency of attributes in information system. Journal of Fuzzy Mathematics 64 3-4 (2004) 409-417
-
(2004)
Journal of Fuzzy Mathematics
, vol.64
, Issue.3-4
, pp. 409-417
-
-
De, S.K.1
Biswas, R.2
Roy, A.R.3
-
15
-
-
0033906937
-
Rough clustering and its application to medicine
-
Hirano S., and Tsumoto S. Rough clustering and its application to medicine. Information Science 124 (2000) 125-137
-
(2000)
Information Science
, vol.124
, pp. 125-137
-
-
Hirano, S.1
Tsumoto, S.2
-
19
-
-
0037121517
-
Rough-fuzzy functions in classification
-
Sarkar M. Rough-fuzzy functions in classification. Fuzzy Sets and Systems 132 3 (2002) 353-369
-
(2002)
Fuzzy Sets and Systems
, vol.132
, Issue.3
, pp. 353-369
-
-
Sarkar, M.1
-
20
-
-
24944554151
-
Intrusion detection system using sequence and set preserving metric
-
LNCS Springer Verlag, Atlanta
-
Kumar P., Rao M.V., Krishna P.R., Bapi R.S., and Laha A. Intrusion detection system using sequence and set preserving metric. Proceedings of IEEE International Conference on Intelligence and Security Informatics (2005), LNCS Springer Verlag, Atlanta 498-504
-
(2005)
Proceedings of IEEE International Conference on Intelligence and Security Informatics
, pp. 498-504
-
-
Kumar, P.1
Rao, M.V.2
Krishna, P.R.3
Bapi, R.S.4
Laha, A.5
-
21
-
-
84964528874
-
-
L. Bergroth, H. Hakonen, T. Raita, A survey of longest common subsequence algorithm, in: Seventh International Symposium on String Processing and Information Retriveal, Atlanta, 2000, pp. 39-48.
-
-
-
-
24
-
-
0001819987
-
Rough set processing of vague information using fuzzy similarity relations
-
Calude C.S., and Paun G. (Eds), LNCS Springer-Verlag, London
-
Greco S., Matarazzo B., and Slowinski R. Rough set processing of vague information using fuzzy similarity relations. In: Calude C.S., and Paun G. (Eds). Finite Versus Infinite - Contributions to an Eternal Dilemma (2000), LNCS Springer-Verlag, London 149-173
-
(2000)
Finite Versus Infinite - Contributions to an Eternal Dilemma
, pp. 149-173
-
-
Greco, S.1
Matarazzo, B.2
Slowinski, R.3
-
25
-
-
0001769360
-
Tolerance based rough sets
-
Lin T.Y., and Wildberger A.M. (Eds), Simulation Councils, Inc., San Diego
-
Polkowski L., Skowron A., and Zytkow J. Tolerance based rough sets. In: Lin T.Y., and Wildberger A.M. (Eds). Soft Computing: Rough Sets, Fuzzy Logic, Neural Networks, Uncertainty Management (1995), Simulation Councils, Inc., San Diego 55-58
-
(1995)
Soft Computing: Rough Sets, Fuzzy Logic, Neural Networks, Uncertainty Management
, pp. 55-58
-
-
Polkowski, L.1
Skowron, A.2
Zytkow, J.3
-
27
-
-
0002650257
-
Generalized rough set models
-
Physica-Verlag, Heidelberg
-
Yao Y.Y. Generalized rough set models. Rough Sets in Knowledge Discovery (1998), Physica-Verlag, Heidelberg 286-318
-
(1998)
Rough Sets in Knowledge Discovery
, pp. 286-318
-
-
Yao, Y.Y.1
-
28
-
-
8344253612
-
-
Y.Y. Yao, On generalizing rough set theory, in: 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2003, pp. 44-51.
-
-
-
-
29
-
-
0032294902
-
Rough set approach to incomplete information systems
-
Kryszkiewicz M. Rough set approach to incomplete information systems. Information Science 112 1-4 (1998) 39-49
-
(1998)
Information Science
, vol.112
, Issue.1-4
, pp. 39-49
-
-
Kryszkiewicz, M.1
-
30
-
-
0036471411
-
Nonhierarchical document clustering based on a tolerance rough set model
-
Ho T.B., and Nguyen N.B. Nonhierarchical document clustering based on a tolerance rough set model. International Journal of Intelligent Systems 17 2 (2002) 199-212
-
(2002)
International Journal of Intelligent Systems
, vol.17
, Issue.2
, pp. 199-212
-
-
Ho, T.B.1
Nguyen, N.B.2
-
31
-
-
84974659934
-
Hierarchical document clustering based on tolerance rough set model
-
LNCS Springer-Verlag, London, UK
-
Kawasaki S., Nguyen N.B., and Ho T.B. Hierarchical document clustering based on tolerance rough set model. 4th European Conference on Principles of Data Mining and Knowledge Discovery (2000), LNCS Springer-Verlag, London, UK 458-463
-
(2000)
4th European Conference on Principles of Data Mining and Knowledge Discovery
, pp. 458-463
-
-
Kawasaki, S.1
Nguyen, N.B.2
Ho, T.B.3
-
32
-
-
33748867056
-
A method of web search result clustering based on rough sets
-
Ngo C.L., and Nguyen H.S. A method of web search result clustering based on rough sets. Web Intelligence (2005) 673-679
-
(2005)
Web Intelligence
, pp. 673-679
-
-
Ngo, C.L.1
Nguyen, H.S.2
-
33
-
-
34447299356
-
-
R. Slowinski, D. Vanderpooten, Similarity relations as a basis for rough approximations, ICS Research Report 53/95, Warsaw University Technology, 1995.
-
-
-
-
37
-
-
0037209810
-
Fast hierarchical clustering and its validation
-
Dash M., Liu H., Scheuermann P., and Tan K.L. Fast hierarchical clustering and its validation. Data and Knowledge Engineering 44 1 (2003) 109-138
-
(2003)
Data and Knowledge Engineering
, vol.44
, Issue.1
, pp. 109-138
-
-
Dash, M.1
Liu, H.2
Scheuermann, P.3
Tan, K.L.4
-
38
-
-
0034593106
-
Visualization of navigation patterns on a web site using model-based clustering
-
Cadez I.V., Heckerman D., Meek C., Smyth P., and White S. Visualization of navigation patterns on a web site using model-based clustering. Knowledge Discovery and Data Mining (2000) 280-284
-
(2000)
Knowledge Discovery and Data Mining
, pp. 280-284
-
-
Cadez, I.V.1
Heckerman, D.2
Meek, C.3
Smyth, P.4
White, S.5
-
39
-
-
15544376208
-
Web usage mining: Comparison of conventional, fuzzy, and rough set clustering
-
Zhang Y., Liu J., and Yao Y. (Eds), Springer
-
Lingras P., Yan R., and Jain A. Web usage mining: Comparison of conventional, fuzzy, and rough set clustering. In: Zhang Y., Liu J., and Yao Y. (Eds). Computational Web Intelligence: Intelligent Technology for Web Applications (2004), Springer 133-148
-
(2004)
Computational Web Intelligence: Intelligent Technology for Web Applications
, pp. 133-148
-
-
Lingras, P.1
Yan, R.2
Jain, A.3
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