Automated Cell Suppression to Preserve Confidentiality of Business Statistics.

Gordon Sande: Automated Cell Suppression to Preserve Confidentiality of Business Statistics. SSDBM 1983: 346-354

@inproceedings{DBLP:conf/ssdbm/Sande83,
  author    = {Gordon Sande},
  editor    = {Roy Hammond and
               John L. McCarthy},
  title     = {Automated Cell Suppression to Preserve Confidentiality of Business
               Statistics},
  booktitle = {Proceedings of the Second International Workshop on Statistical
               Database Management, Los Altos, California, USA, September 27-29,
               1983},
  publisher = {Lawrence Berkeley Laboratory},
  year      = {1983},
  pages     = {346-354},
  ee        = {db/conf/ssdbm/Sande83.html},
  crossref  = {DBLP:conf/ssdbm/83},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

A Statistical Agency must balance the competing requirements of preserving the confidentiality of the data obtained from respondents and of publishing statistical summaries of the data obtained from respondents. This note will describe the components of an experimental suite of software which seeks to resolve this conflict in the case of economic censuses. The components described will be those which identify sensitive statistics, determine complementary suppressions and audit the suppressed publications. These components are supported by an infrastructure of utility programmes. Experience with the software on various economic censuses and opportunities for further work will be discussed.

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Roy Hammond, John L. McCarthy (Eds.): Proceedings of the Second International Workshop on Statistical Database Management, Los Altos, California, USA, September 27-29, 1983. Lawrence Berkeley Laboratory 1983
Contents

References

[1]: Jon Louis Bentley, Jerome H. Friedman: Data Structures for Range Searching. ACM Comput. Surv. 11(4): 397-409(1979)
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