Inference Control in Statistical Databases

Josep Domingo-Ferrer

ISBN 10: 3540436146 / ISBN 13: 9783540436140

Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2002, 2002

Beschreibung

This item is printed on demand - Print on Demand Titel. Neuware -Inference control in statistical databases, also known as statistical disclosure limitation or statistical confidentiality, is about finding tradeoffs to the tension between the increasing societal need for accurate statistical data and the legal and ethical obligation to protect privacy of individuals and enterprises which are the source of data for producing statistics. Techniques used by intruders to make inferences compromising privacy increasingly draw on data mining, record linkage, knowledge discovery, and data analysis and thus statistical inference control becomes an integral part of computer science.This coherent state-of-the-art survey presents some of the most recent work in the field. The papers presented together with an introduction are organized in topical sections on tabular data protection, microdata protection, and software and user case studies.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 244 pp. Englisch.

Bestandsnummer des Verkäufers 9783540436140

Bibliografische Details

• Titel: Inference Control in Statistical Databases
• Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2002
• Veröffentlichungsdatum: 2002
• Sprache: Englisch
• ISBN-10: 3540436146
• ISBN-13: 9783540436140
• Bindung: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

Inference control in statistical databases, also known as statistical disclosure limitation or statistical confidentiality, is about finding tradeoffs to the tension between the increasing societal need for accurate statistical data and the legal and ethical obligation to protect privacy of individuals and enterprises which are the source of data for producing statistics. Techniques used by intruders to make inferences compromising privacy increasingly draw on data mining, record linkage, knowledge discovery, and data analysis and thus statistical inference control becomes an integral part of computer science.
This coherent state-of-the-art survey presents some of the most recent work in the field. The papers presented together with an introduction are organized in topical sections on tabular data protection, microdata protection, and software and user case studies.