Optimization of the ABCD formula for melanoma diagnosis using C4.5, a data mining system

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3066, Issue , 2004, Pages 630-636

  Andrews, Ron ^a   Bajcar, Stanislaw ^b   Grzymała Busse, Jerzy W ^a,c   Hippe, Zdzisław S ^d   Whiteley, Chris ^a  

^a UNIVERSITY OF KANSAS   (United States)

^b Regional Dermatology Center   (Poland)

^c INSTITUTE OF COMPUTER SCIENCE   (Poland)

^d UNIVERSITY OF INFORMATION TECHNOLOGY AND MANAGEMENT   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; OPTIMIZATION; TREES (MATHEMATICS); DERMATOLOGY; MINING MACHINERY; ONCOLOGY; ROUGH SET THEORY;

CROSS VALIDATION; DATA SETS; ROUGH SETS; DATA MINING SYSTEM; LEM2 RULE INDUCTION ALGORITHMS; MOST LIKELY;

DATA MINING;

EID: 9444228282     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-25929-9_78     Document Type: Conference Paper

References (12)

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2. Friedman, R. J., Rigel, D. S., and Kopf, A. W.: Early detection of malignant melanoma: the role of physician examination and self-examination of the skin. CA Cancer J. Clin. 35 (1985) 130-151.
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