Using Genetic Programming for Feature Creation with a Genetic Algorithm Feature Selector

Created by W.Langdon from gp-bibliography.bib Revision:1.4782

@InProceedings{Smith:PPSN:2004,

• author = "Matthew G. Smith and Larry Bull",
• title = "Using Genetic Programming for Feature Creation with a Genetic Algorithm Feature Selector",
• booktitle = "Parallel Problem Solving from Nature - PPSN VIII",
• year = "2004",
• editor = "Xin Yao and Edmund Burke and Jose A. Lozano and Jim Smith and Juan J. Merelo-Guerv\'os and John A. Bullinaria and Jonathan Rowe and Peter Ti\v{n}o Ata Kab\'an and Hans-Paul Schwefel",
• volume = "3242",
• pages = "1163--1171",
• series = "LNCS",
• address = "Birmingham, UK",
• publisher_address = "Berlin",
• month = "18-22 " # sep,
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-23092-0",
• URL = "http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=3242&spage=1163",
• DOI = "doi:10.1007/b100601",
• abstract = "The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we primarily examine the use of Genetic Programming and a Genetic Algorithm to pre-process data before it is classified using the C4.5 decision tree learning algorithm. Genetic Programming is used to construct new features from those available in the data, a potentially significant process for data mining since it gives consideration to hidden relationships between features. A Genetic Algorithm is used to determine which such features are the most predictive. Using ten well-known datasets we show that our approach, in comparison to C4.5 alone, provides marked improvement in a number of cases. We then examine its use with other well-known machine learning techniques.",
• notes = "PPSN-VIII",

}

Genetic Programming entries for Matthew G Smith Larry Bull

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