DocumentCode
2060842
Title
Multi-table association rules hiding
Author
Wang, Shyue-Liang ; Hong, Tzung-Pei ; Tsai, Yu-Chuan ; Kao, Hung-Yu
Author_Institution
Dept. of Inf. Manage., Nat. Univ. of Kaohsiung, Kaohsiung, Taiwan
fYear
2010
fDate
Nov. 29 2010-Dec. 1 2010
Firstpage
1298
Lastpage
1302
Abstract
Many approaches for preserving association rule privacy, such as association rule mining outsourcing, association rule hiding, and anonymity, have been proposed. In particular, association rule hiding on single transaction table has been well studied. However, hiding multi-relational association rule in data warehouses is not yet investigated. This work presents a novel algorithm to hide predictive association rules on multiple tables. Given a target predictive item, a technique is proposed to hide multi-relational association rules containing the target item without joining the multiple tables. Examples and analyses are given to demonstrate the efficiency of the approach.
Keywords
data encapsulation; data mining; data privacy; data warehouses; multitable association rules hiding; privacy; single transaction table; association rule; data mining; hiding; multi-relational; privacy preserving;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on
Conference_Location
Cairo
Print_ISBN
978-1-4244-8134-7
Type
conf
DOI
10.1109/ISDA.2010.5687088
Filename
5687088
Link To Document