• DocumentCode
    559692
  • Title

    ε-collusion-proof mechanism for the aggregation of unverifiable cluster labels

  • Author

    Winoto, Pinata ; Tang, Tiffany Y.

  • Author_Institution
    Dept. Comput. Eng., Konkuk Univ., Chungju, South Korea
  • fYear
    2011
  • fDate
    24-26 Oct. 2011
  • Firstpage
    274
  • Lastpage
    279
  • Abstract
    In this paper we study the collusion-proof property of a mechanism that is proposed for solving classification/clustering aggregation among selfish agents who tend to lie about their correct clustering/classes during the aggregation process. The ground-truth of the class labels is unknown, yet the agents are interested in the majority choice. The mechanism is first studied in [1], which shows the feasibility of it to foster agents´ truth-telling behavior, but failed to address its collusion-proof property. In this paper we show that the proposed mechanism is indeed satisfying the collusion-proof property under some conditions. A further analysis based on the property of the participating agents is also provided here.
  • Keywords
    data mining; distributed databases; pattern classification; pattern clustering; software agents; aggregation process; classification-clustering aggregation; collusion-proof property; database marketing; distributed data mining; foster agent truth-telling behavior; selfish agent; Companies; Equations; Games; Mathematical model; Mechanical factors; Nash equilibrium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining and Intelligent Information Technology Applications (ICMiA), 2011 3rd International Conference on
  • Conference_Location
    Macao
  • Print_ISBN
    978-1-4673-0231-9
  • Type

    conf

  • Filename
    6108443