DocumentCode :
2169421
Title :
A multi-objective scheme to hide sequential patterns
Author :
Rahbarinia, Babak ; Pedram, Mir Mohsen ; Arabnia, Hamid R. ; Alavi, Zohreh
Author_Institution :
Sci. & Res. Branch, Comput. Eng. Dept., Islamic Azad Univ., Tehran, Iran
Volume :
1
fYear :
2010
fDate :
26-28 Feb. 2010
Firstpage :
153
Lastpage :
158
Abstract :
Notwithstanding the fact that data mining and particularly sequence mining have come to the help of database proprietors and experts in variety of fields by extracting the hidden knowledge in their raw data, they have provided an opportunity for adversaries to take advantage from this sensitive knowledge. So this work addresses the problem of sequential pattern hiding, and proposes an efficient and applicable algorithm which benefits from a multi-objective scheme to fulfill the requirements of the problem as well as maintaining database fidelity as much as possible.
Keywords :
data encapsulation; data mining; data privacy; data mining; database fidelity; hidden knowledge extraction; multiobjective scheme; sequential pattern hiding; sequential pattern mining; Association rules; Computer science; Data mining; Data privacy; Itemsets; Pattern analysis; Protection; Sections; Transaction databases; knowledge hiding; privacy preserving data mining; sequential pattern hiding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
Type :
conf
DOI :
10.1109/ICCAE.2010.5451977
Filename :
5451977
Link To Document :
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