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Using an Incomplete Data Cube as a Summary Data Sieve.

Curtis E. Dyreson: Using an Incomplete Data Cube as a Summary Data Sieve. IEEE Data Eng. Bull. 20(1): 19-26(1997)
@article{DBLP:journals/debu/Dyreson97,
  author    = {Curtis E. Dyreson},
  title     = {Using an Incomplete Data Cube as a Summary Data Sieve},
  journal   = {IEEE Data Eng. Bull.},
  volume    = {20},
  number    = {1},
  year      = {1997},
  pages     = {19-26},
  ee        = {db/journals/debu/Dyreson97.html},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

An incomplete data cube is a multidimensional hierarchy of aggregate values in which regions of the hierarchy, and the source data from which those regions are derived, are missing. We model an incomplete cube as a collection of complete sub-cubes called cubettes. Each cubette is defined using a precise, simple specification. The set of cubette specifications concisely characterises the information content of the cube. We discuss how these simple specifications can be used to generate a parser to sieve data from an underlying data source and populate an incomplete cube.

Copyright © 1997 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.


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Data Engineering Bulletin March 1997: Supporting On-line Analytical Processing (Daniel Barbara, ed.)
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References

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Curtis E. Dyreson: Information Retrieval from an Incomplete Data Cube. VLDB 1996: 532-543 BibTeX
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Jennifer Widom: Research Problems in Data Warehousing. CIKM 1995: 25-30 BibTeX
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