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Table of contents (9 chapters)
Keywords
About this book
A grammar-based genetic programming system called LOGENPRO (The LOGic grammar based GENetic PROgramming system) is detailed and tested on many problems in data mining. It is found that LOGENPRO outperforms some ILP systems. We have also illustrated how to apply LOGENPRO to emulate Automatically Defined Functions (ADFs) to discover problem representation primitives automatically. By employing various knowledge about the problem being solved, LOGENPRO can find a solution much faster than ADFs and the computation required by LOGENPRO is much smaller than that of ADFs. Moreover, LOGENPRO can emulate the effects of Strongly Type Genetic Programming and ADFs simultaneously and effortlessly.
Data Mining Using Grammar Based Genetic Programming and Applications is appropriate for researchers, practitioners and clinicians interested in genetic programming, data mining, and the extraction of data from databases.
Authors and Affiliations
Bibliographic Information
Book Title: Data Mining Using Grammar Based Genetic Programming and Applications
Authors: Man Leung Wong, Kwong Sak Leung
Series Title: Genetic Programming
DOI: https://doi.org/10.1007/b116131
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2002
Hardcover ISBN: 978-0-7923-7746-7Published: 29 February 2000
Softcover ISBN: 978-1-4757-8421-3Published: 21 March 2013
eBook ISBN: 978-0-306-47012-7Published: 02 December 2005
Series ISSN: 1566-7863
Edition Number: 1
Number of Pages: XIV, 214
Topics: Artificial Intelligence, Data Structures and Information Theory