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Utility-driven anonymization in data publishing
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Authors:
Mingqiang Xue
National University of Singapore, Singapore, Singapore
Panagiotis Karras
Rutgers University, Newark, NJ, USA
Chedy Raïssi
INRIA, Nancy Grand-Est, France
Hung Keng Pung
National University of Singapore, Singapore, Singapore
2011 Article
Poster
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· Citation Count: 1
Published in:
· Proceeding
CIKM '11
Proceedings of the 20th ACM international conference on Information and knowledge management
Pages 2277-2280
ACM
New York, NY
, USA
©2011
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ISBN: 978-1-4503-0717-8
doi>
10.1145/2063576.2063945
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Tags:
algorithms
anonymization
data mining
experimentation
pattern-preserving
privacy
privacy
security
security, integrity, and protection
utility-driven
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