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PAAMS
2010
Springer

Variable Length-Based Genetic Representation to Automatically Evolve Wrappers

9 years 11 months ago
Variable Length-Based Genetic Representation to Automatically Evolve Wrappers
The Web has been the star service on the Internet, however the outsized information available and its decentralized nature has originated an intrinsic difficulty to locate, extract and compose information. An automatic approach is required to handle with this huge amount of data. In this paper we present a machine learning algorithm based on Genetic Algorithms which generates a set of complex wrappers, able to extract information from the Web. The paper presents the experimental evaluation of these wrappers over a set of basic data sets.
David F. Barrero, Antonio González-Pardo, M
Added 14 Feb 2011
Updated 14 Feb 2011
Type Journal
Year 2010
Where PAAMS
Authors David F. Barrero, Antonio González-Pardo, María D. R-Moreno, David Camacho
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