Robust and Distributed Top-N Frequent-Pattern Mining With SAP BW Accelerator

Summary: Replaces hard-to-tune minimum support with heuristic top-n ECLAT mining. PARTITION/TPUT plus MAST enable adaptive distributed mining on skewed, semantically fixed partitions, evaluated on SAP BW Accelerator business data. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 10156
Venue: VLDB
Year: 2009
Pagerank: 5.0723324e-05
Overall Rank: 12,594 | 13.89%
DOI: 10.14778/1687553.1687571

Incoming Non-self Citations Over Time

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

Authors

1. Thomas Legler (SAP (Systems, Applications, and Products))
2. Wolfgang Lehner (Technical University of Dresden)
3. Jan Schaffner (Hasso-Plattner-Institut)
4. Jens Krüger (Hasso-Plattner-Institut)

BibTeX Citation

@article{legler_vldb09,
        title = {{Robust and Distributed Top-N Frequent-Pattern Mining With SAP BW Accelerator}},
        author = {Legler, Thomas and Lehner, Wolfgang and Schaffner, Jan and Krüger, Jens},
        journal = {PVLDB},
        series = {{VLDB} '09},
        doi = {10.14778/1687553.1687571},
        url = {https://doi.org/10.14778/1687553.1687571},
        year = {2009}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
5,881	Bridging Two Worlds with RICE: Integrating R into the SAP In-Memory Computing Engine	2011	VLDB	6.0395141e-05

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
161	Mining Frequent Patterns without Candidate Generation	2000	SIGMOD	0.0002788857
561	An Efficient Algorithm for Mining Association Rules in Large Databases	1995	VLDB	0.00016465619
1,520	Top-k Query Evaluation with Probabilistic Guarantees	2004	VLDB	0.0001048277
2,824	KLEE: A Framework for Distributed Top-k Query Algorithms	2005	VLDB	8.0639629e-05
6,051	Data Mining with the SAP NetWeaver BI Accelerator	2006	VLDB	5.9811083e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	561	An Efficient Algorithm for Mining Association Rules in Large Databases	1995	VLDB
2	3,336	Mining Compressed Frequent-Pattern Sets	2005	VLDB
3	4,657	Scalable Parallel Data Mining for Association Rules	1997	SIGMOD
4	9,252	Feasible Itemset Distributions in Data Mining: Theory and Application	2003	PODS
5	161	Mining Frequent Patterns without Candidate Generation	2000	SIGMOD
6	14,069	Communication-Efficient Distributed Mining of Association Rules	2001	SIGMOD
7	12,975	Parallel Mining Algorithms for Generalized Association Rules with Classification Hierarchy	1998	SIGMOD
8	14,141	Towards Data Mining Benchmarking: A Test Bed for Performance Study of Frequent Pattern Mining	2000	SIGMOD
9	12,709	Optimization of Frequent Itemset Mining on Multiple-Core Processor	2007	VLDB
10	6,051	Data Mining with the SAP NetWeaver BI Accelerator	2006	VLDB