A backward adjusting strategy and optimization of the C4.5 parameters to improve C4.5's performance

Proceedings of the 21th International Florida Artificial Intelligence Research Society Conference, FLAIRS-21

Volumn , Issue , 2008, Pages 35-40

  Beck, J R ^a   Garcia, M ^b   Zhong, M ^a   Georgiopoulos, M ^a   Anagnostopoulos, G C ^c  

^a University of Central Florida   (United States)

^b UNIVERSITY OF PUERTO RICO   (Puerto Rico)

^c Florida Institute of Technology ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREE CLASSIFIERS; DEFAULT VALUES; ERROR RATES; GROWING AND PRUNING; GROWING PHASE; MACHINE LEARNINGS; QUANTITATIVE AND QUALITATIVE ASSESSMENTS; TRAINING DATUMS;

ARTIFICIAL INTELLIGENCE; CLASSIFIERS; DECISION THEORY; DECISION TREES; LEARNING SYSTEMS; MATHEMATICAL MODELS;

TREES (MATHEMATICS);

EID: 55849146249     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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5. th Annual Technical Conference on Research and Development on Expert Systems III, 25-34. Brighton, United Kingdom.
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8. Newman, D. J., Hettich, S., Blake, C. L., Merz, C. J., 1998. UCI Repository of Machine Learning Databases, University of California, Irvine, CA