Genetic Programming with a Genetic Algorithm for Feature Construction and Selection

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{MatthewGSmith:2005:GPEM,

• author = "Matthew G. Smith and Larry Bull",
• title = "Genetic Programming with a Genetic Algorithm for Feature Construction and Selection",
• journal = "Genetic Programming and Evolvable Machines",
• year = "2005",
• volume = "6",
• number = "3",
• pages = "265--281",
• month = sep,
• note = "Published online: 17 August 2005",
• keywords = "genetic algorithms, genetic programming, feature construction, feature selection, classification, machine learning",
• ISSN = "1389-2576",
• DOI = "doi:10.1007/s10710-005-2988-7",
• size = "17 pages",
• 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 = "UCI datasets. Mentions ADFs but these are separate trees within the same chromosome, they do not call each other, nor are they called. k-nearest neighbours, naive Bayes. GAP. C4.8=J48. Wrapper. Random tree initialisation. Missing values lead to zero. p2568 inversion. p269 Ensures no missing data attributes at the start of the second stage.",

}

Genetic Programming entries for Matthew G Smith Larry Bull

Citations