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Reseach Article

An Algorithm for Hiding Association Rules on Data Mining

Published on November 2012 by Sunil Kumar, Mahaveer Singh, Nidhi Porwal
National Conference on Communication Technologies & its impact on Next Generation Computing 2012
Foundation of Computer Science USA
CTNGC - Number 3
November 2012
Authors: Sunil Kumar, Mahaveer Singh, Nidhi Porwal
5d421d0d-d468-4bdd-a6be-b274cb8f9e38

Sunil Kumar, Mahaveer Singh, Nidhi Porwal . An Algorithm for Hiding Association Rules on Data Mining. National Conference on Communication Technologies & its impact on Next Generation Computing 2012. CTNGC, 3 (November 2012), 1-4.

@article{
author = { Sunil Kumar, Mahaveer Singh, Nidhi Porwal },
title = { An Algorithm for Hiding Association Rules on Data Mining },
journal = { National Conference on Communication Technologies & its impact on Next Generation Computing 2012 },
issue_date = { November 2012 },
volume = { CTNGC },
number = { 3 },
month = { November },
year = { 2012 },
issn = 0975-8887,
pages = { 1-4 },
numpages = 4,
url = { /proceedings/ctngc/number3/9061-1022/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Communication Technologies & its impact on Next Generation Computing 2012
%A Sunil Kumar
%A Mahaveer Singh
%A Nidhi Porwal
%T An Algorithm for Hiding Association Rules on Data Mining
%J National Conference on Communication Technologies & its impact on Next Generation Computing 2012
%@ 0975-8887
%V CTNGC
%N 3
%P 1-4
%D 2012
%I International Journal of Computer Applications
Abstract

We propose a algorithm to hiding association rules on data mining. We make a target data table without joining the multiple tables using the hiding association rules. Hiding association rules joined data table and all dimension tables, it is reduce support and confidence in multi relational data mining. Association analysis is a powerful and popular tool for discovering relationships hidden in large data sets. We can modify transaction data item sets.

References
  1. Yi-Hung Wu, Chia-Ming Chiang, and Arbee L. P. Chen "HidingSensitive Association Rules with Limited Side Effects" IEEE Transaction on Knowledge and data engineering, Vol. 19, pp. 29-42, 2007.
  2. Shyue-Liang Wang, Bhavesh Parikh, Ayat Jafari "Hiding informative association rule sets" Science direct. 2006.
  3. Manoj Gupta and R. C. Joshi" Privacy Preserving Fuzzy Association Rules Hiding in Quantitative Data" International Journal of Computer Theory and Engineering, Vol. 1, No. 4, October, 2009
  4. Vassilios S. Verykios, Ahmed K. Elmagarmid,Elisa Bertino, Yucel Saygin,Elena Dasseni" Association Rule Hiding" IEEE Transaction on Knowledge and data engineering, Vol. 16, April 2004.
  5. Guanling Lee, Chien-Yu Chang, Arbee L. P Chen" Hiding Sensitive Patterns in Association Rules Mining"Proceedings of the 28th Annual International Computer Software and Applications Conference (COMPSAC'04), 2004
  6. Shyue-Liang Wang, Yu-Huei Lee, Steven Billis, Ayat Jafari" Hiding Sensitive Items in Privacy Preserving Association Rule Mining" IEEE International Conference on Systems, Man and Cybernetics, 2004
  7. Xiaoming Zhang, Xi Qiao" New Approach for Sensitive Association Rule Hiding" 2008 International Workshop on Education Technology and Training, IEEE computer society, 2008
  8. Shan-Tai Chen, Shih-Min Lin, Chi-Yii Tang, and Guei-Yu Lin" An Improved Algorithm for Completely Hiding Sensitive Association Rule Sets" 2nd International conference on computer science and its application,pp. 1-6,2010
  9. Shyue-Liang Wang1and Tzung-Pei Hong2 Yu-Chuan Tsai, Hung-Yu Kao" Multi-table Association Rules Hiding" 2nd International conference on Intelligent system design and application,pp. 1298-1302,2010 .
  10. Chih-Chia Weng, Shan-Tai Chen, Hung-Che Lo" A Novel Algorithm for Completely Hiding Sensitive Association Rules" Eighth International Conference on Intelligent Systems Design and Applications,vol. 2,pp. 202-208,2008.
  11. Yogendra Kumar Jain , Vinod Kumar Yadav, Geetika S. Panday" An Efficient Association Rule Hiding Algorithm for Privacy Preserving Data Mining" International Journal on Computer Science and Engineering (IJCSE), vol. 3 ,pp. 2792- 2798,2011
  12. Yuhong Guo" Reconstruction-Based Association Rule Hiding" IEEE computer society, 2007
  13. Elena Dasseni, Vassilios S. Verykios,. Ahmed K. Elmagarmid, Elisa Bertino" Hiding Association Rules by Using Confidence and Support" 4th International Workshop on Information Hiding, 2001.
Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Association Rules Hiding Minimum Confidence Minimum Support