-
4
-
-
0031146361
-
Statistical evaluation of rough set dependency analysis
-
Dünstch I, Gediga G. Statistical evaluation of rough set dependency analysis. Int J Hum Comput Stud 1997;46:589-604.
-
(1997)
Int J Hum Comput Stud
, vol.46
, pp. 589-604
-
-
Dünstch, I.1
Gediga, G.2
-
5
-
-
22844456607
-
The role of Occam's razor in knowledge discovery
-
Domingos P. The role of Occam's razor in knowledge discovery. Data Mining Knowl Discov 1999;3:409-425.
-
(1999)
Data Mining Knowl Discov
, vol.3
, pp. 409-425
-
-
Domingos, P.1
-
6
-
-
0000255880
-
A comparison of dynamic and non-dynamic rough sets methods for extracting laws from decision tables
-
Polkowski L, Skowron A, editors. New York: Physica-Verlag
-
Bazan TG. A comparison of dynamic and non-dynamic rough sets methods for extracting laws from decision tables. In: Polkowski L, Skowron A, editors. Rough sets in knowledge discovery 1: Methodology and applications. New York: Physica-Verlag; 1998. pp 451-482.
-
(1998)
Rough Sets in Knowledge Discovery 1: Methodology and Applications
, pp. 451-482
-
-
Bazan, T.G.1
-
7
-
-
84947728411
-
Discretization problem for rough sets methods
-
Polkowski L, Skowron A, editors. Rough sets and current trends in computing. Warsaw, Poland
-
Nguyen HS. Discretization problem for rough sets methods. In: Polkowski L, Skowron A, editors. Rough sets and current trends in computing. Proc First Int Conf RSCTC'98, Warsaw, Poland; 1998. pp 545-552.
-
(1998)
Proc First Int Conf RSCTC'98
, pp. 545-552
-
-
Nguyen, H.S.1
-
9
-
-
85139983802
-
Supervised and unsupervised discretization of continuous features
-
Tahoe City. San Francisco: Kaufmann
-
Dougherty J, Kohavi R, Sahami M. Supervised and unsupervised discretization of continuous features. In: Proc 12th Int Conf on Machine Learning, Tahoe City. San Francisco: Kaufmann; 1995. pp 194-202.
-
(1995)
Proc 12th Int Conf on Machine Learning
, pp. 194-202
-
-
Dougherty, J.1
Kohavi, R.2
Sahami, M.3
-
10
-
-
0030079092
-
Dimensionality reduction via discretization
-
Liu H, Setiono R. Dimensionality reduction via discretization. Knowl Base Syst 1996;9:67-72.
-
(1996)
Knowl Base Syst
, vol.9
, pp. 67-72
-
-
Liu, H.1
Setiono, R.2
-
11
-
-
0043234660
-
Variable precision rough set theory and data discretisation: An application to corporate failure prediction
-
Beynon MJ, Peel MJ. Variable precision rough set theory and data discretisation: An application to corporate failure prediction. Omega 2001;29:561-576.
-
(2001)
Omega
, vol.29
, pp. 561-576
-
-
Beynon, M.J.1
Peel, M.J.2
-
12
-
-
0000864105
-
Global discretization of continuous attributes as preprocessing for machine learning
-
Chmielewski M, Grzymala-Busse L. Global discretization of continuous attributes as preprocessing for machine learning. Int J Approx Reas 1996;15:319-331.
-
(1996)
Int J Approx Reas
, vol.15
, pp. 319-331
-
-
Chmielewski, M.1
Grzymala-Busse, L.2
-
14
-
-
0242657729
-
Stability of continuous value discretisation: An application within rough set theory
-
Beynon MJ. Stability of continuous value discretisation: An application within rough set theory. Int J Approx Reas 2004;35:29-53.
-
(2004)
Int J Approx Reas
, vol.35
, pp. 29-53
-
-
Beynon, M.J.1
-
15
-
-
0003765256
-
Sensitivity analysis of rough classification
-
Słowiński K, Słowiński R. Sensitivity analysis of rough classification. Int J Man Mach Stud 1990;32:693-705.
-
(1990)
Int J Man Mach Stud
, vol.32
, pp. 693-705
-
-
Słowiński, K.1
Słowiński, R.2
-
16
-
-
0005073905
-
IRIS revisited: A comparison of discriminant and enhanced rough set data analysis
-
Polkowski L, Skowron A, editors. New York: Physica-Verlag
-
Browne C, Dünstch L, Gediga G. IRIS revisited: A comparison of discriminant and enhanced rough set data analysis. In: Polkowski L, Skowron A, editors. Rough sets in knowledge discovery 2: Applications, case studies and software systems. New York: Physica-Verlag; 1998. pp 345-368.
-
(1998)
Rough Sets in Knowledge Discovery 2: Applications, Case Studies and Software Systems
, pp. 345-368
-
-
Browne, C.1
Dünstch, L.2
Gediga, G.3
-
17
-
-
0001473437
-
On estimation of a probability density function mode
-
Parzen E. On estimation of a probability density function mode. Ann Math Stat 1962;33:1065-1076.
-
(1962)
Ann Math Stat
, vol.33
, pp. 1065-1076
-
-
Parzen, E.1
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