Data Mining with the SAP NetWeaver BI Accelerator
Summary: Repurposes SAP NetWeaver’s in-memory OLAP accelerator and compact indexes for mining directly over large, unpreprocessed business repositories. A distributed BUC-based association-rule implementation enables online mining with reported response times under 60 seconds. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Thomas Legler (Technical University of Dresden)
- 2. Wolfgang Lehner (Technical University of Dresden)
- 3. Andrew Ross (Systems, Applications, and Products in Data Processing AG)
BibTeX Citation
@article{legler_vldb06,
title = {{Data Mining with the SAP NetWeaver BI Accelerator}},
author = {Legler, Thomas and Lehner, Wolfgang and Ross, Andrew},
journal = {PVLDB},
series = {{VLDB} '06},
pages = {1059--1068},
doi = {10.14778/1164135.1164254},
url = {https://doi.org/10.14778/1164135.1164254},
year = {2006}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 575 | Efficient Transaction Processing in SAP HANA Database – The End of a Column Store Myth | 2012 | SIGMOD | 0.00016257033 |
| 4,001 | Scaling Up Concurrent Main-Memory Column-Store Scans: Towards Adaptive NUMA-aware Data and Task Placement | 2015 | VLDB | 6.9663191e-05 |
| 8,186 | A Comparison of Flexible Schemas for Software as a Service | 2009 | SIGMOD | 5.4705133e-05 |
| 12,541 | Robust and Distributed Top-N Frequent-Pattern Mining With SAP BW Accelerator | 2009 | VLDB | 5.093636e-05 |
| 12,603 | Dwarfs in the Rearview Mirror: How Big are they Really? | 2008 | VLDB | 5.093636e-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 |
|---|---|---|---|---|
| 12 | C-Store: A Column-oriented DBMS | 2005 | VLDB | 0.00069513174 |
| 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD | 0.0006567919 |
| 27 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00052255472 |
| 161 | Mining Frequent Patterns without Candidate Generation | 2000 | SIGMOD | 0.00027981772 |
| 393 | Bottom-Up Computation of Sparse and Iceberg CUBEs | 1999 | SIGMOD | 0.0001934104 |
| 558 | An Efficient Algorithm for Mining Association Rules in Large Databases | 1995 | VLDB | 0.00016530269 |
| 1,603 | Combinatorial Pattern Discovery for Scientific Data: Some Preliminary Results | 1994 | SIGMOD | 0.00010236342 |
| 4,354 | Online Association Rule Mining | 1999 | SIGMOD | 6.7479905e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,535 | Exploratory Mining and Pruning Optimizations of Constrained Association Rules | 1998 | SIGMOD |
| 2 | 577 | Computing Iceberg Queries Efficiently | 1998 | VLDB |
| 3 | 5,500 | Combi-Operator – Database Support for Data Mining Applications | 2003 | VLDB |
| 4 | 4,640 | Scalable Parallel Data Mining for Association Rules | 1997 | SIGMOD |
| 5 | 1,825 | Efficient Computation of Iceberg Cubes with Complex Measures | 2001 | SIGMOD |
| 6 | 558 | An Efficient Algorithm for Mining Association Rules in Large Databases | 1995 | VLDB |
| 7 | 980 | Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications | 1998 | SIGMOD |
| 8 | 13,712 | Database Systems Research on Data Mining | 2010 | SIGMOD |
| 9 | 14,007 | Query Processing Concepts and Techniques to Support Business Intelligence Applications | 2002 | VLDB |
| 10 | 12,541 | Robust and Distributed Top-N Frequent-Pattern Mining With SAP BW Accelerator | 2009 | VLDB |