• DocumentCode
    2412592
  • Title

    Incentive Compatible Distributed Data Mining

  • Author

    Kantarcioglu, Murat ; Nix, Robert

  • Author_Institution
    Jonsson Sch. of Eng. & Comput. Sci., Univ. of Texas at Dallas, Richardson, TX, USA
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Firstpage
    735
  • Lastpage
    742
  • Abstract
    In this paper, we propose a game-theoretic mechanism to encourage truthful data sharing for distributed data mining. Our proposed mechanism uses the classic Vickrey-Clarke-Groves (VCG) mechanism and does not rely on the ability to verify the data of the parties participating in the distributed data mining protocol. Instead, we incentivize truth telling based solely on the data mining result. Under reasonable assumptions, we prove that these mechanisms are incentive compatible for distributed data mining. In addition, through extensive experimentation, we show that they are applicable in practice.
  • Keywords
    cryptography; data mining; game theory; Vickrey-Clarke-Groves mechanism; cryptography; game-theoretic mechanism; incentive compatible distributed data mining; truthful data sharing; Accuracy; Computational modeling; Cost accounting; Cryptography; Data mining; Data models; Games; cryptography; data mining; game theory; mechanism design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Social Computing (SocialCom), 2010 IEEE Second International Conference on
  • Conference_Location
    Minneapolis, MN
  • Print_ISBN
    978-1-4244-8439-3
  • Electronic_ISBN
    978-0-7695-4211-9
  • Type

    conf

  • DOI
    10.1109/SocialCom.2010.114
  • Filename
    5591490