DocumentCode :
3374844
Title :
A Privacy-Preserving Mining Algorithm of Association Rules in Distributed Databases
Author :
Liu, Jie ; Piao, Xiufeng ; Huang, Shaobin
Author_Institution :
Harbin Eng. Univ.
Volume :
2
fYear :
2006
fDate :
20-24 June 2006
Firstpage :
746
Lastpage :
750
Abstract :
Association rules mining is one of the most important and fundamental problems in data mining. Recently, in need of security, more and more people are studying privacy- preserving association rules mining in distributed database. This paper addresses a secure mining algorithm of association rules, which builds a globe hash table to prune item-sets and incorporate cryptographic techniques to minimize the information shared
Keywords :
cryptography; data mining; data privacy; distributed databases; association rule; cryptographic technique; distributed database; hash table; privacy-preserving mining algorithm; Association rules; Concurrent computing; Cryptography; Data engineering; Data mining; Data security; Distributed databases; Information security; Itemsets; Transaction databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on
Conference_Location :
Hanzhou, Zhejiang
Print_ISBN :
0-7695-2581-4
Type :
conf
DOI :
10.1109/IMSCCS.2006.164
Filename :
4673797
Link To Document :
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