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» Anonymizing Temporal Data
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VLDB
2006
ACM
122views Database» more  VLDB 2006»
14 years 10 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
ECIS
2003
13 years 11 months ago
Meeting privacy obligations: the implications for information systems development
The European Union(EU) Data Protection (Privacy) Directive of 1995 (EUPD) and resulting legislation introduced by member states is designed to ensure that business activity is sub...
Reeva M. Lederman, Graeme G. Shanks, Martin R. Gib...
ICDE
1999
IEEE
113views Database» more  ICDE 1999»
14 years 11 months ago
Parallel Algorithms for Computing Temporal Aggregates
The ability to model the temporal dimension is essential to many applications. Furthermore, the rate of increase in database size and response time requirements has outpaced advan...
Jose Alvin G. Gendrano, Bruce C. Huang, Jim M. Rod...
ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
14 years 3 months ago
Predicting Rare Events In Temporal Domains
Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...
Ricardo Vilalta, Sheng Ma
EUROCAST
2005
Springer
133views Hardware» more  EUROCAST 2005»
14 years 3 months ago
An Iterative Method for Mining Frequent Temporal Patterns
The incorporation of temporal semantic into the traditional data mining techniques has caused the creation of a new area called Temporal Data Mining. This incorporation is especial...
Francisco Guil, Antonio B. Bailón, Alfonso ...