1. ZHAW digitalcollection
  2. School of Engineering
  3. Publikationen
  4. Publikationen School of Engineering
Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-18250
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMeindl, Bernhard-
dc.contributor.authorTempl, Matthias-
dc.date.accessioned2019-09-25T09:37:36Z-
dc.date.available2019-09-25T09:37:36Z-
dc.date.issued2019-
dc.identifier.issn1999-4893de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/18250-
dc.description.abstractThe interactive, web-based point-and-click application presented in this article, allows anonymizing data without any knowledge in a programming language. Anonymization in data mining, but creating safe, anonymized data is by no means a trivial task. Both the methodological issues as well as know-how from subject matter specialists should be taken into account when anonymizing data. Even though specialized software such as sdcMicro exists, it is often difficult for nonexperts in a particular software and without programming skills to actually anonymize datasets without an appropriate app. The presented app is not restricted to apply disclosure limitation techniques but rather facilitates the entire anonymization process. This interface allows uploading data to the system, modifying them and to create an object defining the disclosure scenario. Once such a statistical disclosure control (SDC) problem has been defined, users can apply anonymization techniques to this object and get instant feedback on the impact on risk and data utility after SDC methods have been applied. Additional features, such as an Undo Button, the possibility to export the anonymized dataset or the required code for reproducibility reasons, as well its interactive features, make it convenient both for experts and nonexperts in R – the free software environment for statistical computing and graphics – to protect a dataset using this app.de_CH
dc.language.isoende_CH
dc.publisherMDPIde_CH
dc.relation.ispartofAlgorithmsde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectAnonymizationde_CH
dc.subjectR-packagede_CH
dc.subjectUser interfacede_CH
dc.subjectFeedback-systemde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.titleFeedback-based integration of the whole process of data anonymization in a graphical interfacede_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Datenanalyse und Prozessdesign (IDP)de_CH
dc.identifier.doi10.3390/a12090191de_CH
dc.identifier.doi10.21256/zhaw-18250-
zhaw.funding.euNode_CH
zhaw.issue9de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.start191de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume12de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.author.additionalNode_CH
Appears in collections:Publikationen School of Engineering

Files in This Item:
File Description SizeFormat 
algorithms-12-00191-v2.pdf876.8 kBAdobe PDFThumbnail
View/Open
Show simple item record
Meindl, B., & Templ, M. (2019). Feedback-based integration of the whole process of data anonymization in a graphical interface. Algorithms, 12(9), 191. https://doi.org/10.3390/a12090191
Meindl, B. and Templ, M. (2019) ‘Feedback-based integration of the whole process of data anonymization in a graphical interface’, Algorithms, 12(9), p. 191. Available at: https://doi.org/10.3390/a12090191.
B. Meindl and M. Templ, “Feedback-based integration of the whole process of data anonymization in a graphical interface,” Algorithms, vol. 12, no. 9, p. 191, 2019, doi: 10.3390/a12090191.
MEINDL, Bernhard und Matthias TEMPL, 2019. Feedback-based integration of the whole process of data anonymization in a graphical interface. Algorithms. 2019. Bd. 12, Nr. 9, S. 191. DOI 10.3390/a12090191
Meindl, Bernhard, and Matthias Templ. 2019. “Feedback-Based Integration of the Whole Process of Data Anonymization in a Graphical Interface.” Algorithms 12 (9): 191. https://doi.org/10.3390/a12090191.
Meindl, Bernhard, and Matthias Templ. “Feedback-Based Integration of the Whole Process of Data Anonymization in a Graphical Interface.” Algorithms, vol. 12, no. 9, 2019, p. 191, https://doi.org/10.3390/a12090191.


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