Maintaining Data Privacy in Association Rule Mining
Summary: Proposes a probabilistic data-distortion scheme to protect privacy in association rule mining. Shows privacy preserved without sacrificing accuracy, validated on real and synthetic data, highlighting the utility-privacy trade-off in privacy-preserving ARM. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shariq J. Rizvi (Indian Institute of Technology)
- 2. Jayant R. Haritsa (Indian Institute of Science)
BibTeX Citation
@article{rizvi_vldb02,
title = {{Maintaining Data Privacy in Association Rule Mining}},
author = {Rizvi, Shariq J. and Haritsa, Jayant R.},
journal = {PVLDB},
series = {{VLDB} '02},
doi = {10.1016/B978-155860869-6/50066-4},
url = {https://doi.org/10.1016/B978-155860869-6/50066-4},
year = {2002}
}
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 226 | Limiting Privacy Breaches in Privacy Preserving Data Mining | 2003 | PODS | 0.00023984903 |
| 1,097 | Privacy Preserving OLAP | 2005 | SIGMOD | 0.00012041002 |
| 1,782 | The Boundary Between Privacy and Utility in Data Publishing | 2007 | VLDB | 9.652327e-05 |
| 4,430 | Anonymization of Set-Valued Data via Top-Down, Local Generalization | 2009 | VLDB | 6.6024228e-05 |
| 4,651 | Deriving Private Information from Randomized Data | 2005 | SIGMOD | 6.4857639e-05 |
| 4,794 | Optimal Random Perturbation at Multiple Privacy Levels | 2009 | VLDB | 6.4124756e-05 |
| 5,620 | rho-uncertainty: Inference-Proof Transaction Anonymization | 2010 | VLDB | 6.0617004e-05 |
| 8,826 | Privacy-MaxEnt: Integrating Background Knowledge in Privacy Quantification | 2008 | SIGMOD | 5.268646e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 573 | An Efficient Algorithm for Mining Association Rules in Large Databases | 1995 | VLDB |
| 2 | 12,943 | Security in Outsourcing of Association Rule Mining | 2007 | VLDB |
| 3 | 4,637 | Association Rules over Interval Data | 1997 | SIGMOD |
| 4 | 4,231 | A New SQL-like Operator for Mining Association Rules | 1996 | VLDB |
| 5 | 12,619 | Controlling False Positives in Association Rule Mining | 2012 | VLDB |
| 6 | 5,673 | Mining Frequent Patterns with Differential Privacy | 2013 | VLDB |
| 7 | 254 | On the Design and Quantification of Privacy Preserving Data Mining Algorithms | 2001 | PODS |
| 8 | 13,099 | Privacy in Data Systems | 2003 | PODS |
| 9 | 226 | Limiting Privacy Breaches in Privacy Preserving Data Mining | 2003 | PODS |
| 10 | 68 | Privacy-Preserving Data Mining | 2000 | SIGMOD |