State-of-the-art in privacy preserving data mining
Computer Technology Institute and Press “DIOPHANTUS” · University of Milan · +1 more institution
Indexed incrossref
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
6Topics & keywords
Topics
Keywords
- Computer science
- Hierarchy
- Context (archaeology)
- Data mining
- State (computer science)
- Work (physics)
- Data science
- Information retrieval
No related works found for this paper.