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VLDB
2006
ACM
122views Database» more  VLDB 2006»
16 years 7 months ago
A secure distributed framework for achieving k-anonymity
k-anonymity provides a measure of privacy protection by preventing re-identification of data to fewer than a group of k data items. While algorithms exist for producing k-anonymous...
Wei Jiang, Chris Clifton
VLDB
2008
ACM
147views Database» more  VLDB 2008»
16 years 7 months ago
Providing k-anonymity in data mining
In this paper we present extended definitions of k-anonymity and use them to prove that a given data mining model does not violate the k-anonymity of the individuals represented in...
Arik Friedman, Ran Wolff, Assaf Schuster
SIGMOD
2005
ACM
118views Database» more  SIGMOD 2005»
16 years 7 months ago
A survey of data provenance in e-science
Data management is growing in complexity as largescale applications take advantage of the loosely coupled resources brought together by grid middleware and by abundant storage cap...
Yogesh Simmhan, Beth Plale, Dennis Gannon
SIGMOD
2004
ACM
123views Database» more  SIGMOD 2004»
16 years 7 months ago
Automatic Categorization of Query Results
Exploratory ad-hoc queries could return too many answers ? a phenomenon commonly referred to as "information overload". In this paper, we propose to automatically catego...
Kaushik Chakrabarti, Surajit Chaudhuri, Seung-won ...
SIGMOD
2004
ACM
148views Database» more  SIGMOD 2004»
16 years 7 months ago
Vertical and Horizontal Percentage Aggregations
Existing SQL aggregate functions present important limitations to compute percentages. This article proposes two SQL aggregate functions to compute percentages addressing such lim...
Carlos Ordonez