Genetic Programming in Pattern Mining

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

@InCollection{Ventura:2016:GPPM,

• author = "Sebastian Ventura and Jose Maria Luna",
• title = "Genetic Programming in Pattern Mining",
• booktitle = "Pattern Mining with Evolutionary Algorithms",
• publisher = "Springer",
• year = "2016",
• chapter = "5",
• pages = "87--117",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-319-33858-3",
• DOI = "doi:10.1007/978-3-319-33858-3_5",
• abstract = "genetic programming for the mining of patterns of interest and the extraction of accurate relationships between patterns. The current chapter first describes the canonical representation of genetic programming and the use of grammars to restrict the search space. Then, it describes different approaches based on genetic programming for mining association rules of interest, paying special attention to the grammars used to restrict the search space, the genetic operators applied and the fitness functions considered by different approaches. Finally, this chapter deals with a series of application domains in which the use of genetic programming for mining association rules has been a successfully applied.",
• notes = "Part of \cite{Ventura:2016:pmea}",

}

Genetic Programming entries for Sebastian Ventura Jose Maria Luna

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