• DocumentCode
    3847323
  • Title

    Feature Selection to Improve Information Verifier Models in EAI

  • Author

    Inaki Fernandez de Viana y Gonzalez;Jose Luis Arjona Fernandez;Jose Luis Alvarez Macias;Pedro Jose Abad Herrera

  • Author_Institution
    Dept. de Tecnol., Informacion de la Univ. de Huelva, Huelva, Spain
  • Volume
    8
  • Issue
    2
  • fYear
    2010
  • fDate
    4/1/2010 12:00:00 AM
  • Firstpage
    158
  • Lastpage
    163
  • Abstract
    Reduce maintenance costs of Enterprise Application Integration (EAI) solutions becomes a challenge when we are trying to integrate friendly web applications. This problem can be solved using automated systems that allow to navigate, extract, structure and verify relevant information. The extracted information is characterized using complex models that later are used to check whether the information is valid. In this paper we will demonstrate empirically that feature selection techniques simplify and improve the models obtained for verification of information.
  • Keywords
    "Data mining","Costs","Navigation","Ontologies"
  • Journal_Title
    IEEE Latin America Transactions
  • Publisher
    ieee
  • ISSN
    1548-0992
  • Type

    jour

  • DOI
    10.1109/TLA.2010.5514442
  • Filename
    5514442