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Multiple Instance Learning with MultiObjective Genetic Programming for Web Mining

14 years 11 days ago
Multiple Instance Learning with MultiObjective Genetic Programming for Web Mining
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 monoobjective version of grammar guided genetic programming G3P-MI. Computational experiments show that, the MOG3PMI algorithm obtains the best results, solves problems of knearest neighbour algorithms, such as sparsity and scalability, adds comprehensibility and clarity in the knowledge discovery process and overcomes the results of monoobjective version.
Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebasti
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where HIS
Authors Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura
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