1. ZHAW digitalcollection
  2. School of Engineering
  3. Publikationen
  4. Publikationen School of Engineering
Full metadata record
DC FieldValueLanguage
dc.contributor.authorTempl, Matthias-
dc.date.accessioned2021-03-14T11:21:00Z-
dc.date.available2021-03-14T11:21:00Z-
dc.date.issued2020-11-09-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/21996-
dc.description.abstractThe demand for and volume of data from questionnaires/surveys, registers or other sources containing sensible information on persons or enterprises have been increased significantly over the last several years. At the same time, privacy protection principles and regulations have imposed restrictions on the access and use of individual data. Proper and secure microdata dissemination calls for the application of statistical disclosure control methods to data sets before release. Traditional approaches to (micro)data anonymization and statistical disclosure control include data perturbation methods, methods to quantify the disclosure risk, and methods to check the data utility of anonymized data sets. These traditional methods are enhanced by methods for the simulation of synthetic data sets. All methods should be able to deal with complex survey designs, missing values, hierarchical and cluster structures. In this colloquium lecture the topic of statistical disclosure control will be introduced to create awareness on this topic. The second part of the presentation discusses the state-of-the-art methods in selected topics on disclosure control and data anonymization."de_CH
dc.language.isoende_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectAnonymizationde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.titleAnonymization and re-identification risk of personal datade_CH
dc.typeKonferenz: Sonstigesde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Datenanalyse und Prozessdesign (IDP)de_CH
zhaw.conference.detailsGästekolloquium Psychologisches Institut Universität Zürich, Zürich, 9. November 2020de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewKeine Begutachtungde_CH
zhaw.webfeedStatistik und Quantitative Financede_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Engineering

Files in This Item:
There are no files associated with this item.
Show simple item record
Templ, M. (2020, November 9). Anonymization and re-identification risk of personal data. Gästekolloquium Psychologisches Institut Universität Zürich, Zürich, 9. November 2020.
Templ, M. (2020) ‘Anonymization and re-identification risk of personal data’, in Gästekolloquium Psychologisches Institut Universität Zürich, Zürich, 9. November 2020.
M. Templ, “Anonymization and re-identification risk of personal data,” in Gästekolloquium Psychologisches Institut Universität Zürich, Zürich, 9. November 2020, Nov. 2020.
TEMPL, Matthias, 2020. Anonymization and re-identification risk of personal data. In: Gästekolloquium Psychologisches Institut Universität Zürich, Zürich, 9. November 2020. Conference presentation. 9 November 2020
Templ, Matthias. 2020. “Anonymization and Re-Identification Risk of Personal Data.” Conference presentation. In Gästekolloquium Psychologisches Institut Universität Zürich, Zürich, 9. November 2020.
Templ, Matthias. “Anonymization and Re-Identification Risk of Personal Data.” Gästekolloquium Psychologisches Institut Universität Zürich, Zürich, 9. November 2020, 2020.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.