Multiple Instance Learning with Multiple Objective Genetic Programming for Web Mining
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{Zafra2009,
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author = "Amelia Zafra and Eva L. Gibaja and Sebastian Ventura",
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title = "Multiple Instance Learning with Multiple Objective
Genetic Programming for Web Mining",
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journal = "Applied Soft Computing",
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year = "2011",
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volume = "11",
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number = "1",
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pages = "93--102",
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month = jan,
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ISSN = "1568-4946",
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DOI = "doi:10.1016/j.asoc.2009.10.021",
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URL = "http://www.sciencedirect.com/science/article/B6W86-4XHVGXC-6/2/45abf35a3df29930ebcbd77a76c8998b",
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keywords = "genetic algorithms, genetic programming,
Multi-instance learning, Multi-objective learning, Web
Mining",
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abstract = "This paper introduces a multi-objective grammar based
genetic programming algorithm, MOG3P-MI, to solve a Web
Mining problem from the perspective of multiple
instance learning. This algorithm is evaluated and
compared to other algorithms that were previously used
to solve this problem. Computational experiments show
that the MOG3P-MI algorithm obtains the best results,
adds comprehensibility and clarity to the knowledge
discovery process and overcomes the main drawbacks of
previous techniques obtaining solutions which maintain
a balance between conflicting measurements like
sensitivity and specificity.",
- }
Genetic Programming entries for
Amelia Zafra Gomez
Eva L Gibaja
Sebastian Ventura
Citations