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dc.contributor.authorBarrero, David F.
dc.contributor.authorGonzález-Pardo, Antonio
dc.contributor.authorR-Moreno, María Dolores
dc.contributor.authorCamacho, David
dc.contributor.otherUAM. Departamento de Ingeniería Informáticaes_ES
dc.date.accessioned2015-05-04T14:33:14Z
dc.date.available2015-05-04T14:33:14Z
dc.date.issued2010
dc.identifier.citationTrends in Practical Applications of Agents and Multiagent Systems: 8th International Conference on Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, Volumen 71. Springer, 10. 371-378.en_US
dc.identifier.isbn978-3-642-12432-7 (print)en_US
dc.identifier.isbn978-3-642-12433-4 (online)en_US
dc.identifier.issn1867-5662 (print)en_US
dc.identifier.issn2194-5365 (online)en_US
dc.identifier.urihttp://hdl.handle.net/10486/665798
dc.descriptionThe final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-12433-4_44en_US
dc.descriptionProceedings 8th International Conference on Practical Applications of Agents and Multiagent Systemsen_US
dc.description.abstractThe 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 theWeb. The paper presents the experimental evaluation of these wrappers over a set of basic data sets.en_US
dc.description.sponsorshipThis work has been partially supported by the Spanish Ministry of Science and Innovation under the projects Castilla-La Mancha project PEII09-0266-6640, COMPUBIODIVE (TIN2007-65989), and by V-LeaF (TIN2008-02729-E/TIN).en_US
dc.format.extent9 pág.es_ES
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherSpringer Berlin Heidelberg
dc.relation.ispartofAdvances in Intelligent Systems and Computingen_US
dc.rights© Springer-Verlag Berlin Heidelberg 2010
dc.subject.otherComputational Intelligenceen_US
dc.subject.otherArtificial Intelligenceen_US
dc.titleVariable length-based genetic representation to automatically evolve wrappersen_US
dc.typeconferenceObjecten
dc.typebookParten
dc.subject.ecienciaInformáticaes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-642-12433-4_44
dc.identifier.doi10.1007/978-3-642-12433-4_44
dc.identifier.publicationfirstpage371
dc.identifier.publicationlastpage378
dc.identifier.publicationvolume71
dc.relation.eventdateApril 26-28, 2010en_US
dc.relation.eventnumber8
dc.relation.eventplaceSalamanca (Spain)en_US
dc.relation.eventtitle8th International Conference on Practical Applications of Agents and Multiagent Systems, PAAMS 2010en_US
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen
dc.contributor.groupHerramientas Interactivas Avanzadas (ING EPS-003)es_ES
dc.rights.accessRightsopenAccessen
dc.authorUAMCamacho Fernández, David (261274)
dc.facultadUAMEscuela Politécnica Superior


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