Multiple Instance Learning with Genetic Programming for Web Mining
Created by W.Langdon from
gp-bibliography.bib Revision:1.8110
- @InProceedings{conf/iwann/ZafraVHR07,
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author = "Amelia Zafra and Sebastian Ventura and
Enrique Herrera-Viedma and Cristobal Romero",
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title = "Multiple Instance Learning with Genetic Programming
for Web Mining",
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booktitle = "Proceedings of the 9th International Work-Conference
on Artificial Neural Networks, IWANN 2007",
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year = "2007",
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editor = "Francisco Sandoval Hern{\'a}ndez and
Alberto Prieto and Joan Cabestany and Manuel Gra{\~n}a",
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volume = "4507",
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series = "Lecture Notes in Computer Science",
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pages = "919--927",
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address = "San Sebasti{\'a}n, Spain",
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month = jun # " 20-22",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-540-73006-4",
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DOI = "doi:10.1007/978-3-540-73007-1_111",
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size = "9 pages",
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abstract = "The aim of this paper is to present a new tool of
multiple instance learning which is designed using a
grammar based genetic programming (GGP) algorithm. We
study its application in Web Mining framework to
identify web pages interesting for the users. This new
tool called GGP-MI algorithm is evaluated and compared
with other available algorithms which extend a
well-known neighborhood based algorithm (k-nearest
neighbour algorithm) to multiple instance learning.
Computational experiments show that, the GGP-MI
algorithm obtains competitive results, solves problems
of other algorithms, such as sparsity and scalability
and adds comprehensibility and clarity in the knowledge
discovery process.",
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notes = "Computational and Ambient Intelligence",
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bibdate = "2007-09-29",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/iwann/iwann2007.html#ZafraVHR07",
- }
Genetic Programming entries for
Amelia Zafra Gomez
Sebastian Ventura
Enrique Herrera Viedma
Cristobal Romero Morales
Citations