- author = "S. E. Rouwhorst and A. P. Engelbrecht",
- title = "Searching the Forest: Using Decision Trees as Building Blocks for Evolutionary Search in Classification Databases",
- booktitle = "Proceedings of the 2000 Congress on Evolutionary Computation CEC00",
- year = "2000",
- pages = "633--638",
- volume = "1",
- address = "La Jolla Marriott Hotel La Jolla, California, USA",
- publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA",
- month = "6-9 " # jul,
- organisation = "IEEE Neural Network Council (NNC), Evolutionary Programming Society (EPS), Institution of Electrical Engineers (IEE)",
- publisher = "IEEE Press",
- keywords = "genetic algorithms, genetic programming, hybrid systems, data mining, decision trees, evolutionary computation, mathematical operators, pattern classification, search problems, BGP algorithm, C4.5 algorithm, CN2 algorithm, building blocks, classification databases, data mining, decision trees, evolutionary search algorithm, induction algorithms, operators",
- ISBN = "0-7803-6375-2",
-
DOI = "
doi:10.1109/CEC.2000.870357",
- size = "6 pages",
- abstract = "A new evolutionary search algorithm, called BGP (Building-block approach to Genetic Programming), to be used for classification tasks in data mining, is introduced. It is different from existing evolutionary techniques in that it does not use indirect representations of a solution, such as bit strings or grammars. The algorithm uses decision trees of various sizes as individuals in the populations and operators, e.g. crossover, are performed directly on the trees. When compared to the C4.5 and CN2 induction algorithms on a benchmark set of problems, BGP shows very good results",
-
notes = "CEC-2000 - A joint meeting of the IEEE, Evolutionary
Programming Society, Galesia, and the IEE.
IEEE Catalog Number = 00TH8512,
Library of Congress Number = 00-018644
Inspec Accession Number: 6734684
Comparsion in \cite{yu:2004:ECDM}",
