articleACM SIGMOD RecordMar 1, 2004Closed access

State-of-the-art in privacy preserving data mining

Computer Technology Institute and Press “DIOPHANTUS” · University of Milan · +1 more institution

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Abstract

We provide here an overview of the new and rapidly emerging research area of privacy preserving data mining. We also propose a classification hierarchy that sets the basis for analyzing the work which has been performed in this context. A detailed review of the work accomplished in this area is also given, along with the coordinates of each work to the classification hierarchy. A brief evaluation is performed, and some initial conclusions are made.

Citation impact

813
total citations
FWCI
61.05
Percentile
100%
References
107
Citations per year

Authors

6

Topics & keywords

Keywords
  • Computer science
  • Hierarchy
  • Context (archaeology)
  • Data mining
  • State (computer science)
  • Work (physics)
  • Data science
  • Information retrieval
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