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IWANN
2007
Springer

Multiple Instance Learning with Genetic Programming for Web Mining

10 years 2 months ago
Multiple Instance Learning with Genetic Programming for Web Mining
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.
Amelia Zafra, Sebastián Ventura, Enrique He
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where IWANN
Authors Amelia Zafra, Sebastián Ventura, Enrique Herrera-Viedma, Cristóbal Romero
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