-
1
-
-
84942861182
-
A search for the best data mining method to predict melanoma
-
J.J. Alpigini, J.F. Peters, A. Skowron, N. Zhong (Eds.) Springer-Verlag, Heidelberg
-
J.W. Grzymała-Busse, Z.S. Hippe: A Search for the Best Data Mining Method to Predict Melanoma. In: J.J. Alpigini, J.F. Peters, A. Skowron, N. Zhong (Eds.) Rough Sets and Current Trends in Computing, Springer-Verlag, Heidelberg 2002, pp. 538-545.
-
(2002)
Rough Sets and Current Trends in Computing
, pp. 538-545
-
-
Grzymała-Busse, J.W.1
Hippe, Z.S.2
-
2
-
-
0001458045
-
The rule induc-tion system LERS - A version for personal computers
-
M.R. Chmielewski, J.W. Grzymala-Busse, Neil W. Peterson, S. Than: The Rule Induc-tion System LERS - A Version for Personal Computers. Foundations of Computing and Dec. Sciences 1993 (18, No 3-4) pp. 181-211.
-
(1993)
Foundations of Computing and Dec. Sciences
, vol.18
, Issue.3-4
, pp. 181-211
-
-
Chmielewski, M.R.1
Grzymala-Busse, J.W.2
Peterson, N.W.3
Than, S.4
-
3
-
-
9444236729
-
A suite of machine learning tools for knowledge extraction from data
-
R. Tadeusiewicz, A. Ligçza, M. Szymkat (Eds.), Cracow (in Polish)
-
P. Błajdo, J.W. Grzymała-Busse, Z.S. Hippe, M. Knap, T. Marek, T. Mroczek, M. Wrzesień: A suite of machine learning tools for knowledge extraction from data. In: R. Tadeusiewicz, A. Ligçza, M. Szymkat (Eds.), Computer Methods and Systems in Scientific Research, Edition of "Oprogr. Naukowe", Cracow 2003, s. 479-484 (in Polish).
-
(2003)
Computer Methods and Systems in Scientific Research, Edition of "Oprogr. Naukowe"
, pp. 479-484
-
-
Błajdo, P.1
Grzymała-Busse, J.W.2
Hippe, Z.S.3
Knap, M.4
Marek, T.5
Mroczek, T.6
Wrzesień, M.7
-
4
-
-
9444224967
-
Melanoma classification and prediction using belief networks
-
M. Kurzynski, E. Puchała, M. Wozniak (Eds.) Wrocław University of Technology Edit. Office, Wrocław
-
Z.S. Hippe, T. Mroczek: Melanoma classification and prediction using belief networks, In: M. Kurzynski, E. Puchała, M. Wozniak (Eds.) Computer Recognition Systems, Wrocław University of Technology Edit. Office, Wrocław 2003, pp. 337-342.
-
(2003)
Computer Recognition Systems
, pp. 337-342
-
-
Hippe, Z.S.1
Mroczek, T.2
-
6
-
-
34249832377
-
A Byesian method for the induction of probabilistic networks from data
-
G.F. Cooper, E. Herskovits: A Byesian method for the induction of probabilistic networks from data. Machine Learning 1992(9)309-347.
-
(1992)
Machine Learning
, Issue.9
, pp. 309-347
-
-
Cooper, G.F.1
Herskovits, E.2
-
7
-
-
9444228282
-
Optimization of the ABCD Formula for Melanoma Diagnosis Using C4.5, a Data Mining System
-
Submitted for Uppsala (Sweden) 01-05.06
-
R. Andrews, S. Bajcar, J.W. Grzymała-Busse, Z.S. Hippe, C. Whiteley: Optimization of the ABCD Formula for Melanoma Diagnosis Using C4.5, a Data Mining System. (Submitted for Fourth International Conference on Rough Sets and Current Trends in Computing, RSCTC'2004, Uppsala (Sweden) 01-05.06.2004).
-
(2004)
Fourth International Conference on Rough Sets and Current Trends in Computing, RSCTC'2004
-
-
Andrews, R.1
Bajcar, S.2
Grzymała-Busse, J.W.3
Hippe, Z.S.4
Whiteley, C.5
-
8
-
-
0032756338
-
The dermatoscopic ABCD rule does not improve diagnostic accuracy of malignant melanoma
-
H. Lorentzen, K. Weissman, L. Secher, C. S. Peterson, F. G. Larsen: The dermatoscopic ABCD rule does not improve diagnostic accuracy of malignant melanoma. Acta Derm. Venereol. 79 (1999) 469-472.
-
(1999)
Acta Derm. Venereol.
, vol.79
, pp. 469-472
-
-
Lorentzen, H.1
Weissman, K.2
Secher, L.3
Peterson, C.S.4
Larsen, F.G.5
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