Discovering comprehensible classification rules by using Genetic Programming: a case study in a medical domain
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{bojarczuk:1999:DGP,
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author = "Celia C. Bojarczuk and Heitor S. Lopes and
Alex A. Freitas",
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title = "Discovering comprehensible classification rules by
using Genetic Programming: a case study in a medical
domain",
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booktitle = "Proceedings of the Genetic and Evolutionary
Computation Conference",
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year = "1999",
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editor = "Wolfgang Banzhaf and Jason Daida and
Agoston E. Eiben and Max H. Garzon and Vasant Honavar and
Mark Jakiela and Robert E. Smith",
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volume = "2",
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pages = "953--958",
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address = "Orlando, Florida, USA",
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publisher_address = "San Francisco, CA 94104, USA",
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month = "13-17 " # jul,
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publisher = "Morgan Kaufmann",
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keywords = "genetic algorithms, genetic programming, data mining,
classification, medical applications",
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ISBN = "1-55860-611-4",
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URL = "http://www.cs.kent.ac.uk/people/staff/aaf/pub_papers.dir/gecco99.ps",
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URL = "https://www.cs.kent.ac.uk/people/staff/aaf/pubs.html",
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URL = "http://citeseer.ist.psu.edu/340269.html",
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URL = "http://gpbib.cs.ucl.ac.uk/gecco1999/GP-417.pdf",
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URL = "http://gpbib.cs.ucl.ac.uk/gecco1999/GP-417.ps",
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abstract = "This work it is intended to discover classification
rules for diagnosing certain pathologies. These rules
are capable of discriminating among 12 different
pathologies, whose main symptom is chest pain. In order
to discover these rules it was used genetic programming
as well as some concepts of data mining, particularly
the emphasis on the discovery of comprehensible
knowledge.",
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notes = "GECCO-99 A joint meeting of the eighth international
conference on genetic algorithms (ICGA-99) and the
fourth annual genetic programming conference (GP-99).
See also \cite{bojarczuk:2000:kdcp}",
- }
Genetic Programming entries for
Celia Cristina Bojarczuk
Heitor Silverio Lopes
Alex Alves Freitas
Citations