Using Association Rules for Fraud Detection in Web Advertising Networks

Summary: Streaming-Rules reports association rules in data streams with tight error guarantees, using small per-item processing. Modular design fits stream engines, targeting fraud in web advertising networks, showing scalability and fraud discovery. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 9490
Venue: VLDB
Year: 2005
Pagerank: 5.093636e-05
Overall Rank: 12,755 | 12.49%
DOI: -

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Ahmed Metwally (University of California Santa Barbara)
2. Divyakant Agrawal (University of California Santa Barbara)
3. Amr El Abbadi (University of California Santa Barbara)

BibTeX Citation

@article{metwally_vldb05,
        title = {{Using Association Rules for Fraud Detection in Web Advertising Networks}},
        author = {Metwally, Ahmed and Agrawal, Divyakant and Abbadi, Amr El},
        journal = {PVLDB},
        series = {{VLDB} '05},
        pages = {169--180},
        year = {2005}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
12,582	SLEUTH: Single-pubLisher attack dEtection Using correlaTion Hunting	2008	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
13	Mining Association Rules between Sets of Items in Large Databases	1993	SIGMOD	0.0006567919
122	Approximate Frequency Counts over Data Streams	2002	VLDB	0.00031260115
161	Mining Frequent Patterns without Candidate Generation	2000	SIGMOD	0.00027981772
838	What’s Hot and What’s Not: Tracking Most Frequent Items Dynamically	2003	PODS	0.0001370404
4,683	False Positive or False Negative: Mining Frequent Itemsets from High Speed Transactional Data Streams	2004	VLDB	6.5641059e-05
6,305	A Regression-Based Temporal Pattern Mining Scheme for Data Streams	2003	VLDB	5.9204295e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	122	Approximate Frequency Counts over Data Streams	2002	VLDB
2	558	An Efficient Algorithm for Mining Association Rules in Large Databases	1995	VLDB
3	4,598	Temporal Rules Discovery for Web Data Cleaning	2016	VLDB
4	7,330	Discovering Association Rules from Big Graphs	2022	VLDB
5	462	Sampling Large Databases for Association Rules	1996	VLDB
6	27	Fast Algorithms for Mining Association Rules	1994	VLDB
7	13	Mining Association Rules between Sets of Items in Large Databases	1993	SIGMOD
8	12,582	SLEUTH: Single-pubLisher attack dEtection Using correlaTion Hunting	2008	VLDB
9	1,217	Maintaining Data Privacy in Association Rule Mining	2002	VLDB
10	4,005	Fast Data Stream Algorithms using Associative Memories	2007	SIGMOD