-
2
-
-
8344266839
-
Rough sets: Trends and challenges
-
Wang G., Liu Q., Yao Y. and Skowron A.(ed.), LNAI 2639, Berlin, Heidelberg: Springer-Verlag
-
Skowron A, Peters J F. Rough sets: Trends and challenges. In: Wang G, Liu Q, Yao Y, Skowron A, eds. Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. LNAI 2639, Berlin, Heidelberg: Springer-Verlag, 2003. 25-34.
-
(2003)
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
, pp. 25-34
-
-
Skowron, A.1
Peters, J.F.2
-
3
-
-
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, 2004, 162(2): 65-80.
-
(2004)
Information Sciences
, vol.162
, Issue.2
, pp. 65-80
-
-
Tsumoto, S.1
-
5
-
-
0348231940
-
Rough set approach to case-based reasoning application
-
Huang C-C, Tseng T-L. Rough set approach to case-based reasoning application. Expert Systems with Applications, 2004, 26(3): 369-385.
-
(2004)
Expert Systems with Applications
, vol.26
, Issue.3
, pp. 369-385
-
-
Huang, C.-C.1
Tseng, T.-L.2
-
6
-
-
9444221429
-
Toward rough set foundations-metrological approach
-
Tsumoto S., Slowinski R., Komorowski H.J. and Grzymala-Busse J.W.(ed.), LNAI 3066, Berlin, Heidelberg: Springer-Verlag
-
Polkowski L. Toward rough set foundations-metrological approach. In: Tsumoto S, Slowinski R, Komorowski HJ, Grzymala-Busse JW, eds. Rough Sets and Current Trends in Computing. LNAI 3066, Berlin, Heidelberg: Springer-Verlag, 2004. 8-25.
-
(2004)
Rough Sets and Current Trends in Computing
, pp. 8-25
-
-
Polkowski, L.1
-
7
-
-
2342552770
-
Rough sets and information granulation
-
Heidelberg: Springer-Verlag
-
Peters JF, Skowron A, Synak P, Ramanna S. Rough sets and information granulation. LNCS 2715, Heidelberg: Springer-Verlag, 2003. 370-377.
-
(2003)
LNCS 2715
, pp. 370-377
-
-
Peters, J.F.1
Skowron, A.2
Synak, P.3
Ramanna, S.4
-
9
-
-
84957811670
-
Supervised learning: A generalized rough set approach
-
Ziarko W. and Yao Y.(ed.), LNAI 2005, Heidelberg: Springer-Verlag
-
Han JC, Hu XH, Nick C. Supervised learning: A generalized rough set approach. In: Ziarko W, Yao Y, eds. Rough Sets and Current Trends in Computing. LNAI 2005, Heidelberg: Springer-Verlag, 2001. 322-329.
-
(2001)
Rough Sets and Current Trends in Computing
, pp. 322-329
-
-
Han, J.C.1
Hu, X.H.2
Nick, C.3
-
11
-
-
84974665896
-
On rough sets under generalized equivalence relations
-
Terano T., Nishida T., Namatame A., Tsumoto S., Ohsawa Y. and Washio T.(ed.), LNAI 2253, Heidelberg: Springer-Verlag
-
Inuiguchi M, Tanino T. On rough sets under generalized equivalence relations. In: Terano T, Nishida T, Namatame A, Tsumoto S, Ohsawa Y, Washio T, eds. New Frontiers in Artificial Intelligence: Joint JSAI 2001 Workshop Post-Proc. LNAI 2253, Heidelberg: Springer-Verlag, 2001. 295-300.
-
(2001)
New Frontiers in Artificial Intelligence: Joint JSAI 2001 Workshop Post-Proc
, pp. 295-300
-
-
Inuiguchi, M.1
Tanino, T.2
-
12
-
-
0002650257
-
Generalized rough set models
-
Polkowski L. and Skowron A.(ed.), Heidelberg: Physica-Verlag
-
Yao YY. Generalized rough set models. In: Polkowski L, Skowron A, eds. Rough Sets in Knowledge Discovery 1 - Methodology and Applications. Heidelberg: Physica-Verlag, 1998. 287-318.
-
(1998)
Rough Sets in Knowledge Discovery 1 - Methodology and Applications
, pp. 287-318
-
-
Yao, Y.Y.1
-
13
-
-
8344253612
-
On generalizing rough set theory
-
Wang G., Liu Q., Yao Y. and Skowron A.(ed.), LNAI 2639, Berlin, Heidelberg: Springer-Verlag
-
Yao YY. On generalizing rough set theory. In: Wang G, Liu Q, Yao Y, Skowron A, eds. Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. LNAI 2639, Berlin, Heidelberg: Springer-Verlag, 2003. 44-51.
-
(2003)
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
, pp. 44-51
-
-
Yao, Y.Y.1
-
15
-
-
0012925335
-
Rough data modeling: A new technique for analyzing data
-
Polkowski L. and Skowron A.(ed.), Heidelberg: Physica-Verlag
-
Kowalczyk W. Rough data modeling: A new technique for analyzing data. In: Polkowski L, Skowron A, eds. Rough Sets in Knowledge Discovery 1: Methodology and Applications. Heidelberg: Physica-Verlag, 1998. 400-421.
-
(1998)
Rough Sets in Knowledge Discovery 1: Methodology and Applications
, pp. 400-421
-
-
Kowalczyk, W.1
-
17
-
-
9444222586
-
Generalizations of rough sets: From crisp to fuzzy cases
-
Tsumoto S., Slowinski R., Komorowski H.J. and Grzymala-Busse J.W.(ed.), LNAI 3066, Berlin, Heidelberg: Springer-Verlag
-
Inuiguchi M. Generalizations of rough sets: From crisp to fuzzy cases. In: Tsumoto S, Slowinski R, Komorowski HJ, Grzymala-Busse JW, eds. Rough Sets and Current Trends in Computing. LNAI 3066, Berlin, Heidelberg: Springer-Verlag, 2004. 26-37.
-
(2004)
Rough Sets and Current Trends in Computing
, pp. 26-37
-
-
Inuiguchi, M.1
-
18
-
-
0013026283
-
Modeling customer retention with statistical techniques, rough data models, and genetic programming
-
Pal S.K. and Skowron A.(ed.), Singapore: Springer-Verlag
-
Eiben AE, Euverman TJ, Kowzlczyk W, Slisser F. Modeling customer retention with statistical techniques, rough data models, and genetic programming. In: Pal SK, Skowron A, eds. Rough-Fuzzy Hybridization: A New Trend in Decision-Making. Singapore: Springer-Verlag, 1999. 330-345.
-
(1999)
Rough-Fuzzy Hybridization: A New Trend in Decision-Making
, pp. 330-345
-
-
Eiben, A.E.1
Euverman, T.J.2
Kowzlczyk, W.3
Slisser, F.4
-
20
-
-
0003408496
-
UCI Repository of machine learning databases
-
Irvine: Department of Information and Computer Science, University of California
-
Merz CJ, Murphy PM. UCI Repository of machine learning databases. Irvine: Department of Information and Computer Science, University of California, 2004. http://www.ics.uci.edu/-mlearn/MLRepository.html
-
(2004)
-
-
Merz, C.J.1
Murphy, P.M.2
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