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