On Differentially Private Frequent Itemset Mining
Summary: Analyzes differential privacy for frequent itemset mining; hardness arises from long transactions. Truncates long transactions to trade truncation error for DP noise, producing a practical classical itemset mining algorithm with better F-score than top-k methods, except at very small k; validated on benchmark datasets. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Chen Zeng
- 2. Jeffrey F. Naughton
- 3. Jin-Yi Cai
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,520 | PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions | 2016 | SIGMOD | 0.00011535148 |
| 2,082 | Differentially Private Event Sequences over Infinite Streams | 2014 | VLDB | 9.5834599e-05 |
| 4,039 | Differential Privacy in Telco Big Data Platform | 2015 | VLDB | 6.5075964e-05 |
| 5,545 | Differential Privacy in the Wild: A tutorial on current practices & open challenges | 2016 | VLDB | 5.4462098e-05 |
| 5,687 | Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges | 2017 | SIGMOD | 5.3706593e-05 |
| 5,772 | Mining Frequent Patterns with Differential Privacy | 2013 | VLDB | 5.3322378e-05 |
| 6,065 | APEx: Accuracy-Aware Differentially Private Data Exploration | 2019 | SIGMOD | 5.2291685e-05 |
| 8,074 | Set-valued Data Publication with Local Privacy: Tight Error Bounds and Efficient Mechanisms | 2020 | VLDB | 4.5918992e-05 |
| 10,346 | Differentially Private Substring and Document Counting | 2025 | PODS | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 36 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00076161096 |
| 181 | Mining Frequent Patterns without Candidate Generation | 2000 | SIGMOD | 0.00036992674 |
| 715 | Differentially Private Aggregation of Distributed Time-Series with Transformation and Encryption | 2010 | SIGMOD | 0.00017725693 |
| 1,567 | PrivBasis: Frequent Itemset Mining with Differential Privacy | 2012 | VLDB | 0.0001133268 |
| 3,097 | Publishing Set-Valued Data via Differential Privacy | 2011 | VLDB | 7.5647028e-05 |
| 3,381 | Privacy-preserving Anonymization of Set-valued Data | 2008 | VLDB | 7.1604078e-05 |
| 4,524 | Anonymization of Set-Valued Data via Top-Down, Local Generalization | 2009 | VLDB | 6.1133444e-05 |
| 5,483 | rho-uncertainty: Inference-Proof Transaction Anonymization | 2010 | VLDB | 5.4828795e-05 |
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