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
Link To Document :
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