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