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