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: h3a149d873597bfb6
Venue: VLDB
Year: 2009
Pagerank: 4.9793485e-05
Overall Rank: 12,831 | 13.74%
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
5,944	Bridging Two Worlds with RICE: Integrating R into the SAP In-Memory Computing Engine	2011	VLDB	5.9387238e-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
164	Mining Frequent Patterns without Candidate Generation	2000	SIGMOD	0.00027412227
573	An Efficient Algorithm for Mining Association Rules in Large Databases	1995	VLDB	0.00016173338
1,535	Top-k Query Evaluation with Probabilistic Guarantees	2004	VLDB	0.00010331242
2,874	KLEE: A Framework for Distributed Top-k Query Algorithms	2005	VLDB	7.9221111e-05
6,142	Data Mining with the SAP NetWeaver BI Accelerator	2006	VLDB	5.8722726e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	573	An Efficient Algorithm for Mining Association Rules in Large Databases	1995	VLDB
2	3,383	Mining Compressed Frequent-Pattern Sets	2005	VLDB
3	4,738	Scalable Parallel Data Mining for Association Rules	1997	SIGMOD
4	9,390	Feasible Itemset Distributions in Data Mining: Theory and Application	2003	PODS
5	164	Mining Frequent Patterns without Candidate Generation	2000	SIGMOD
6	14,329	Communication-Efficient Distributed Mining of Association Rules	2001	SIGMOD
7	13,212	Parallel Mining Algorithms for Generalized Association Rules with Classification Hierarchy	1998	SIGMOD
8	14,401	Towards Data Mining Benchmarking: A Test Bed for Performance Study of Frequent Pattern Mining	2000	SIGMOD
9	12,946	Optimization of Frequent Itemset Mining on Multiple-Core Processor	2007	VLDB
10	6,142	Data Mining with the SAP NetWeaver BI Accelerator	2006	VLDB