Multiple Instance Learning with MultiObjective Genetic Programming for Web Mining

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@InProceedings{Zafra:2008:HIS,

• author = "Amelia Zafra and Eva Gibaja and Sebastian Ventura",
• title = "Multiple Instance Learning with MultiObjective Genetic Programming for Web Mining",
• booktitle = "Eighth International Conference on Hybrid Intelligent Systems, HIS '08",
• year = "2008",
• month = sep,
• pages = "513--518",
• keywords = "genetic algorithms, genetic programming, G3P-MI, MIL, MOG3P-MI, Web mining, grammar guided genetic programming, k-nearest neighbour algorithm, multi objective genetic programming, multiobjective grammar, multiple instance learning, Internet, data mining, learning (artificial intelligence)",
• DOI = "doi:10.1109/HIS.2008.120",
• abstract = "This paper introduces a multiobjective grammar based genetic programming algorithm to solve a Web Mining problem from multiple instance perspective. This algorithm, called MOG3P-MI, is evaluated and compared with other available algorithms which extend a well-known neighborhood-based algorithm (k-nearest neighbour algorithm) and with a mono objective version of grammar guided genetic programming G3P-MI. Computational experiments show that, the MOG3PMI algorithm obtains the best results, solves problems of k-nearest neighbour algorithms, such as sparsity and scalability, adds comprehensibility and clarity in the knowledge discovery process and overcomes the results of single objective version.",
• notes = "Also known as \cite{4626681}",

}

Genetic Programming entries for Amelia Zafra Gomez Eva L Gibaja Sebastian Ventura

Citations