False Positive or False Negative: Mining Frequent Itemsets from High Speed Transactional Data Streams

Summary: Mining frequent itemsets from high-speed transactional streams under strict memory bounds; exponential itemset space (2^I-1) makes tracking hard. False-negative oriented algorithms with Chernoff-bound guarantees trade misses for bounded memory, achieving controllable recall and outperforming prior false-positive methods in accuracy, memory, and CPU time. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 9217
Venue: VLDB
Year: 2004
Pagerank: 6.172063e-05
Overall Rank: 4,451 | 69.07%
DOI: -

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,586	Augmented Sketch: Faster and More Accurate Stream Processing	2016	SIGMOD	0.00011245213
4,092	On Dense Pattern Mining in Graph Streams [Extended Abstract]	2010	VLDB	6.4525563e-05
12,571	Using Association Rules for Fraud Detection in Web Advertising Networks	2005	VLDB	4.1905499e-05

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 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	0.00076114894
168	Approximate Frequency Counts over Data Streams	2002	VLDB	0.0003915627
778	Spectral Bloom Filters	2003	SIGMOD	0.00016729191
874	What’s Hot and What’s Not: Tracking Most Frequent Items Dynamically	2003	PODS	0.0001568356

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
117	An Effective Hash-Based Algorithm for Mining Association Rules	1995	SIGMOD	0.00045914132
4,827	An Efficient Rigorous Approach for Identifying Statistically Significant Frequent Itemsets	2009	PODS	5.8892254e-05
182	Mining Frequent Patterns without Candidate Generation	2000	SIGMOD	0.00036955562
7,633	Mining Frequent Itemsets over Uncertain Databases	2012	VLDB	4.6869557e-05
9,062	Feasible Itemset Distributions in Data Mining: Theory and Application	2003	PODS	4.3997447e-05
2,688	On Differentially Private Frequent Itemset Mining	2013	VLDB	8.3012815e-05
13,810	Mining Frequent Itemsets with Bit Strings and Trie	2002	VLDB	-
168	Approximate Frequency Counts over Data Streams	2002	VLDB	0.0003915627
11,986	Resource-oriented Approximation for Frequent Itemset Mining from Bursty Data Streams	2014	SIGMOD	4.1905499e-05
831	Finding Frequent Items in Data Streams	2008	VLDB	0.00016094846