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» Using Anonymized Data for Classification
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112
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DAWAK
2006
Springer
15 years 4 months ago
Priority-Based k-Anonymity Accomplished by Weighted Generalisation Structures
Abstract. Biobanks are gaining in importance by storing large collections of patient's clinical data (e.g. disease history, laboratory parameters, diagnosis, life style) toget...
Konrad Stark, Johann Eder, Kurt Zatloukal
107
Voted
NDSS
2007
IEEE
15 years 6 months ago
Playing Devil's Advocate: Inferring Sensitive Information from Anonymized Network Traces
Encouraging the release of network data is central to promoting sound network research practices, though the publication of this data can leak sensitive information about the publ...
Scott E. Coull, Charles V. Wright, Fabian Monrose,...
ICDE
2008
IEEE
114views Database» more  ICDE 2008»
16 years 1 months ago
On Unifying Privacy and Uncertain Data Models
The problem of privacy-preserving data mining has been studied extensively in recent years because of the increased amount of personal information which is available to corporation...
Charu C. Aggarwal
KDD
2003
ACM
146views Data Mining» more  KDD 2003»
16 years 25 days ago
Style mining of electronic messages for multiple authorship discrimination: first results
This paper considers the use of computational stylistics for performing authorship attribution of electronic messages, addressing categorization problems with as many as 20 differ...
Shlomo Argamon, Marin Saric, Sterling Stuart Stein
96
Voted
SEMWEB
2010
Springer
14 years 10 months ago
Enterprise Data Classification Using Semantic Web Technologies
Organizations today collect and store large amounts of data in various formats and locations. However they are sometimes required to locate all instances of a certain type of data....
David Ben-David, Tamar Domany, Abigail Tarem