Anzeige
Erschienen in:
2008 | OriginalPaper | Buchkapitel
k-Anonymous Data Mining: A Survey
verfasst von : V. Ciriani, S. De Capitani di Vimercati, S. Foresti, P. Samarati
Erschienen in: Privacy-Preserving Data Mining
Verlag: Springer US
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Data mining technology has attracted significant interest as a means of identifying patterns and trends from large collections of data. It is however evident that the collection and analysis of data that include personal information may violate the privacy of the individuals to whom information refers. Privacy protection in data mining is then becoming a crucial issue that has captured the attention of many researchers.
In this chapter, we first describe the concept of
k
-anonymity and illustrate different approaches for its enforcement. We then discuss how the privacy requirements characterized by
k
-anonymity can be violated in data mining and introduce possible approaches to ensure the satisfaction of
k
-anonymity in data mining.