Query Processing Concepts and Techniques to Support Business Intelligence Applications

Summary: Advocates embedding SQL-based data mining in DBMSs rather than exporting data, emphasizing currency, scalability, portability, and adaptability. Develops primitives/operators such as frequent-itemset discovery and set-containment division with query-optimization support. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 9141
Venue: VLDB
Year: 2002
Pagerank: -
Overall Rank: 14,007 | 3.90%
DOI: 10.1016/B978-155860869-6/50118-9

Incoming Non-self Citations Over Time

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

Authors

1. Ralf Rantzau (University of Stuttgart)

BibTeX Citation

@article{rantzau_vldb02,
        title = {{Query Processing Concepts and Techniques to Support Business Intelligence Applications}},
        author = {Rantzau, Ralf},
        journal = {PVLDB},
        series = {{VLDB} '02},
        doi = {10.1016/B978-155860869-6/50118-9},
        url = {https://doi.org/10.1016/B978-155860869-6/50118-9},
        year = {2002}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	7,008	Business Modeling Using SQL Spreadsheets	2003	VLDB
2	14,219	Data Mining Techniques	1996	SIGMOD
3	5,500	Combi-Operator – Database Support for Data Mining Applications	2003	VLDB
4	7,987	Query Processing for SQL Updates	2004	SIGMOD
5	9,804	One-pass Data Mining Algorithms in a DBMS with UDFs	2011	SIGMOD
6	13,813	Trends in High Performance Analytics	2006	SIGMOD
7	6,107	Adaptive Query Processing: Why, How, When, What Next	2006	SIGMOD
8	6,719	Exploratory Mining via Constrained Frequent Set Queries	1999	SIGMOD
9	13,712	Database Systems Research on Data Mining	2010	SIGMOD
10	13,914	Where is Business Intelligence taking today’s Database Systems?	2004	VLDB