• DocumentCode
    2987034
  • Title

    An induction-based compaction of sets of association rules among Web concepts

  • Author

    Espil, Mauricio Minuto ; Ale, Juan M.

  • Author_Institution
    LIFIA, Univ. Nac. de La Plata, La Plata, Argentina
  • fYear
    2010
  • fDate
    19-21 May 2010
  • Firstpage
    311
  • Lastpage
    318
  • Abstract
    Association rules are nowadays regarded as robust vehicles for creating Web recommendations. We present an induction-based technique for creating a compact representation of sets of association rules, particularly intended for publishing the compact representation in the Web. Our technique efficiently induces a defeasible logic program from a set of association rules, in a manner that the complete set of the given associations can be concluded, when integrating the induced compact program within a defeasible logic reasoning framework.
  • Keywords
    Advertising; Association rules; Compaction; Data mining; Itemsets; Logic; Ontologies; Publishing; Robustness; Vehicles; Association Rules Discovery; Data Mining Post-Processing; Defeasible Logic Reasoning; Web Ontologies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Research Challenges in Information Science (RCIS), 2010 Fourth International Conference on
  • Conference_Location
    Nice, France
  • ISSN
    2151-1349
  • Print_ISBN
    978-1-4244-4839-5
  • Electronic_ISBN
    2151-1349
  • Type

    conf

  • DOI
    10.1109/RCIS.2010.5507390
  • Filename
    5507390