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Summarizability in OLAP and Statistical Data Bases.

Hans-Joachim Lenz, Arie Shoshani: Summarizability in OLAP and Statistical Data Bases. SSDBM 1997: 132-143
@inproceedings{DBLP:conf/ssdbm/LenzS97,
  author    = {Hans-Joachim Lenz and
               Arie Shoshani},
  editor    = {Yannis E. Ioannidis and
               David M. Hansen},
  title     = {Summarizability in OLAP and Statistical Data Bases},
  booktitle = {Ninth International Conference on Scientific and Statistical
               Database Management, Proceedings, August 11-13, 1997, Olympia,
               Washington, USA},
  publisher = {IEEE Computer Society},
  year      = {1997},
  isbn      = {0-8186-7952-2},
  pages     = {132-143},
  ee        = {db/conf/ssdbm/LenzS97.html},
  crossref  = {DBLP:conf/ssdbm/97},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Summarizability of OLAP and Statistical Databases is an a extremely important property because violating this condition can lead to erroneous conclusions and decisions. In this paper we explore the conditions for summarizability. We introduce a framework for specifying precisely the context in which statistical objects are defined. We use a three step process to define normalized statistical objects. Using this framework, we identify three necessary conditions for summarizability. We provided specific tests for each of the conditions that can be verified either from semantic knowledge, or by checking the statistical database itself. We also provide the reasoning for our belief that these three summarizability conditions are sufficient as well.

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


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Yannis E. Ioannidis, David M. Hansen (Eds.): Ninth International Conference on Scientific and Statistical Database Management, Proceedings, August 11-13, 1997, Olympia, Washington, USA. IEEE Computer Society 1997, ISBN 0-8186-7952-2
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