On Using Interactive Genetic Algorithms for Knowledge Discovery in Databases
Created by W.Langdon from
gp-bibliography.bib Revision:1.8110
- @InProceedings{venturini:1997:igakdd,
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author = "G. Venturini and M. Slimane and F. Morin and
J.-P. {Asselin de Beauville}",
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title = "On Using Interactive Genetic Algorithms for Knowledge
Discovery in Databases",
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booktitle = "Genetic Algorithms: Proceedings of the Seventh
International Conference",
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year = "1997",
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editor = "Thomas Back",
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pages = "696--703",
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address = "Michigan State University, East Lansing, MI, USA",
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publisher_address = "San Francisco, CA, USA",
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month = "19-23 " # jul,
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publisher = "Morgan Kaufmann",
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keywords = "genetic algorithms, genetic programming, Data Mining",
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ISBN = "1-55860-487-1",
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URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/icga1997/venturini_1997_igakdd.pdf",
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size = "8 pages",
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abstract = "This paper presents an new interactive algorithm for
exploring numerical databases and discovering
regularities, called Genetic Interactive Data Explorer
(GIDE). GIDE, which is based on the specifications of a
previous prototype (Venturini et al. 1996), uses the
principles of interactive genetic algorithms to evolve,
in cooperation with the domain expert, 2D graphical
representations of the data. These 2D representations
are encoded by two new variables represented as Lisp
functions using the genetic programming paradigm. The
domain expert selects interesting representations which
can be further improved by the genetic algorithm. The
interaction between the expert and the knowledge
discovery tool has been greatly improved. Results are
presented on several standard databases.",
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notes = "ICGA-97 Iris, Wine database, glass database, Pima
indians diabetes database",
- }
Genetic Programming entries for
Gilles Venturini
Mohamed Slimane
F Morin
Jean-Pierre Asselin de Beauville
Citations