The DOI matches its Crossref record.
Range queries in OLAP data cubes
Open accessAbstract
A range query applies an aggregation operation over all selected cells of an OLAP data cube where the selection is specified by providing ranges of values for numeric dimensions. We present fast algorithms for range queries for two types of aggregation operations: SUM and MAX. These two operations cover techniques required for most popular aggregation operations, such as those supported by SQL.
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Cited by
Automatic subspace clustering of high dimensional data for data mining applications
Agrawal, R., Gehrke, J., Gunopulos, D., & Raghavan, P. (1998) · Proceedings of the 1998 ACM SIGMOD international conference on Management of data · doi:10.1145/276304.276314 · Cited by 2,412
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Metadata
- Authors
- Ho, C.-T., Agrawal, R., Megiddo, N., & Srikant, R.
- Venue
- Proceedings of the 1997 ACM SIGMOD international conference on Management of data - SIGMOD '97
- Publisher
- ACM Press
- Published
- 1997
- Pages
- 73-88
- ISSN
- 0730-8078 (ISSN-L)
- OpenAlex
- W2071425575
- Cited by
- 281
- References
- 0
- FWCI
- 13.83
- Type
- conference paper
- Language
- en
- Open access
- bronze
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- Ho, C.-T., Agrawal, R., Megiddo, N., & Srikant, R. (1997). Range queries in OLAP data cubes. Proceedings of the 1997 ACM SIGMOD international conference on Management of data - SIGMOD '97. https://doi.org/10.1145/253260.253274
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
