An overview of the use of clustering for data privacy

Vicenç Torra; Guillermo Navarro-Arribas; Klara Stokes

doi:10.1007/978-3-319-24211-8_10

An overview of the use of clustering for data privacy

Vicenç Torra, Guillermo Navarro-Arribas, Klara Stokes

Research output: Chapter in Book › Chapter › Research › peer-review

3 Citations (Scopus)

Abstract

© Springer International Publishing Switzerland 2016. In this chapter we review some of our results related to the use of clustering in the area of data privacy. The paper gives a brief overview of data privacy and, more specifically, on data driven methods for data privacy and discusses where clustering can be applied in this setting. We discuss the role of clustering in the definition of masking methods, and on the calculation of information loss and data utility.

Original language	English
Title of host publication	Unsupervised Learning Algorithms
Pages	237-251
Number of pages	14
DOIs	https://doi.org/10.1007/978-3-319-24211-8_10
Publication status	Published - 1 Jan 2016

Keywords

Clustering
Data privacy
Fuzzy clustering
Information loss
Microaggregation

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10.1007/978-3-319-24211-8_10

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KW - Data privacy

KW - Fuzzy clustering

KW - Information loss

KW - Microaggregation

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An overview of the use of clustering for data privacy

Abstract

Keywords

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