Abstract
The availability of powerful tools to analyze the increasing amounts of personal data has raised many privacy concerns. In this article, we provide an overview of data mining, aimed at a non-technical audience primarily interested in the social and legal aspects of data mining applications.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer Science+Business Media, Inc.
About this chapter
Cite this chapter
Clifton, C.W., Mulligan, D.K., Ramakrishnan, R. (2006). Data Mining and Privacy: An Overview. In: Strandburg, K.J., Raicu, D.S. (eds) Privacy and Technologies of Identity. Springer, Boston, MA. https://doi.org/10.1007/0-387-28222-X_11
Download citation
DOI: https://doi.org/10.1007/0-387-28222-X_11
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-26050-1
Online ISBN: 978-0-387-28222-0
eBook Packages: Computer ScienceComputer Science (R0)