k-anonymous patterns (Articolo in rivista)

Type
Label
  • k-anonymous patterns (Articolo in rivista) (literal)
Anno
  • 2005-01-01T00:00:00+01:00 (literal)
Alternative label
  • Atzori M.; Bonchi F.; Giannotti F.; Pedreschi D. (2005)
    k-anonymous patterns
    in Lecture notes in computer science
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Atzori M.; Bonchi F.; Giannotti F.; Pedreschi D. (literal)
Pagina inizio
  • 10 (literal)
Pagina fine
  • 21 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (Porto, Portugal, 3-7 October, 2005). Proceedings. Alípio M. Jorge, Luís Torgo, Pavel B. Brazdil, Rui Camacho, João (literal)
Note
  • ISI Web of Science (WOS) (literal)
Titolo
  • k-anonymous patterns (literal)
Abstract
  • It is generally believed that data mining results do not violate the anonymity of the individuals recorded in the source database. In fact, data mining models and patterns, in order to ensure a required statistical significance, represent a large number of individuals and thus conceal individual identities: this is the case of the minimum support threshold in association rule mining. In this paper we show that this belief is ill-founded. By shifting the concept of k-anonymity from data to patterns, we formally characterize the notion of a threat to anonymity in the context of pattern discovery, and provide a methodology to efficiently and effectively identify all possible such threats that might arise from the disclosure of a set of extracted patterns. (literal)
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