Multi-table association rules hiding

Shyue Liang Wang; Tzung Pei Hong; Yu Chuan Tsai; Hung Yu Kao

doi:10.1109/ISDA.2010.5687088

Multi-table association rules hiding

Shyue Liang Wang, Tzung Pei Hong, Yu Chuan Tsai, Hung Yu Kao

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10
Pages	1298-1302
Number of pages	5
DOIs	https://doi.org/10.1109/ISDA.2010.5687088
Publication status	Published - 2010
Event	2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10 - Cairo, Egypt Duration: 2010 Nov 29 → 2010 Dec 1

Publication series

Name	Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10

Other

Other	2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10
Country/Territory	Egypt
City	Cairo
Period	10-11-29 → 10-12-01

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Science Applications
Hardware and Architecture

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10.1109/ISDA.2010.5687088

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Wang, S. L., Hong, T. P., Tsai, Y. C., & Kao, H. Y. (2010). Multi-table association rules hiding. In Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10 (pp. 1298-1302). Article 5687088 (Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10). https://doi.org/10.1109/ISDA.2010.5687088

@inproceedings{25e06e64c9154719a7c2e95606ee6140,

title = "Multi-table association rules hiding",

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.",

author = "Wang, {Shyue Liang} and Hong, {Tzung Pei} and Tsai, {Yu Chuan} and Kao, {Hung Yu}",

year = "2010",

doi = "10.1109/ISDA.2010.5687088",

language = "English",

isbn = "9781424481354",

series = "Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10",

pages = "1298--1302",

booktitle = "Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10",

note = "2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10 ; Conference date: 29-11-2010 Through 01-12-2010",

}

Wang, SL, Hong, TP, Tsai, YC & Kao, HY 2010, Multi-table association rules hiding. in Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10., 5687088, Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10, pp. 1298-1302, 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10, Cairo, Egypt, 10-11-29. https://doi.org/10.1109/ISDA.2010.5687088

Multi-table association rules hiding. / Wang, Shyue Liang; Hong, Tzung Pei; Tsai, Yu Chuan et al.
Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10. 2010. p. 1298-1302 5687088 (Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Multi-table association rules hiding

AU - Wang, Shyue Liang

AU - Hong, Tzung Pei

AU - Tsai, Yu Chuan

AU - Kao, Hung Yu

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

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DO - 10.1109/ISDA.2010.5687088

M3 - Conference contribution

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SP - 1298

EP - 1302

BT - Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10

T2 - 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10

Y2 - 29 November 2010 through 1 December 2010

ER -

Multi-table association rules hiding

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