Genetic Programming for Improved Data Mining: An Application to the Biochemistry of Protein Interactions

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

@InProceedings{raymer:1996:GPidm:bpi,

• author = "M. L. Raymer and W. F. Punch and E. D. Goodman and L. A. Kuhn",
• title = "Genetic Programming for Improved Data Mining: An Application to the Biochemistry of Protein Interactions",
• booktitle = "Genetic Programming 1996: Proceedings of the First Annual Conference",
• editor = "John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo",
• year = "1996",
• month = "28--31 " # jul,
• keywords = "genetic algorithms, genetic programming",
• pages = "375--380",
• address = "Stanford University, CA, USA",
• publisher = "MIT Press",
• URL = "http://garage.cse.msu.edu/papers/GARAGe96-04-01.pdf",
• URL = "http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap51.pdf",
• URL = "http://cognet.mit.edu/library/books/view?isbn=0262611279",
• size = "6 pages",
• abstract = "We have previously shown how a genetic algorithm (GA) can be used to perform `data mining' the discovery of particular/important data within large datasets, by finding optimal data classifications using known examples. However, these approaches, while successful, limited data relationships to those that were `fixed' before the GA run. We report here on an extension of our previous work, substituting a genetic program (GP) for a GA. The GP could optimise data classification, as did the GA, but could also determine the functional relationships among the features. This gave improved performance and new information on important relationships among features. We discuss the overall approach, and compare the effectiveness of the GA vs. GP on a biochemistry problem, the determination of the involvement of bound water molecules in protein interactions.",
• notes = "GP-96 Also available as TR GARAGe96-04-01",

}

Genetic Programming entries for Michael L Raymer William F Punch Erik Goodman L A Kuhn

Citations