Abstract
The volume of data collected about people and their activities has increased over the years, especially with the widespread use of the internet. Data collection efforts coupled with powerful querying and data mining tools have raised concerns among people regarding their privacy. Recently the issue of privacy has been investigated in the context of databases and data mining to develop privacy preserving technologies. In this work, we concentrate on textual data and discuss methods for preserving privacy in text documents.
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© 2006 Springer Science+Business Media, Inc.
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Hakkani-Tür, D., Tur, G., Saygin, Y., Tang, M. (2006). Document Sanitization in the Age of Data Mining. 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_15
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DOI: https://doi.org/10.1007/0-387-28222-X_15
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-26050-1
Online ISBN: 978-0-387-28222-0
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