Hide Association Rules with Fewer Side Effects-Reference-Cited by-同舟云学术

Hide Association Rules with Fewer Side Effects

Published:2015 Issue:10 Volume:E98.D Page:1788-1798
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

CHENG Peng¹²,LEE Ivan³,PAN Jeng-Shyang¹,LIN Chun-Wei¹,RODDICK John F.⁴

Affiliation:

1. Shenzhen Graduate School, Harbin Institute of Technology

2. School of Computer and Information Science, Southwest University

3. School of IT and Mathematical Sciences, University of South Australia

4. School of Computer Science, Engineering and Mathematics

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E98.D/10/E98.D_2014EDP7345/_pdf

Reference26 articles.

1. [1] R. Agrawal and R. Srikant, “Privacy-preserving data mining,” ACM SIGMOD Record, vol.29, no.2, pp.439-450, 2000.

2. [2] V.S. Verykios, A.K. Elmagarmid, E. Bertino, Y. Saygin, and E. Dasseni, “Association rule hiding,” IEEE Trans. Knowl. Data Eng., vol.16, no.4, pp.434-447, 2004.

3. [3] A. Gkoulalas-Divanis and V.S. Verykios, Association Rule Hiding for Data Mining, Advances in Database Systems, vol.41, Kluwer, 2010.

4. [4] V.S. Verykios, “Association rule hiding methods,” Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol.3, no.1, pp.28-36, 2013.

5. [5] M. Atallah, E. Bertino, A. Elmagarmid, M. Ibrahim, and V. Verykios, “Disclosure limitation of sensitive rules,” Proc. Workshop on Knowledge and Data Engineering Exchange(KDEX), pp.45-52, IEEE, 1999.

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