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PODS
2012
ACM
244views Database» more  PODS 2012»
13 years 2 months ago
A rigorous and customizable framework for privacy
In this paper we introduce a new and general privacy framework called Pufferfish. The Pufferfish framework can be used to create new privacy definitions that are customized t...
Daniel Kifer, Ashwin Machanavajjhala
MLDM
2005
Springer
15 years 5 months ago
Supervised Evaluation of Dataset Partitions: Advantages and Practice
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
Sylvain Ferrandiz, Marc Boullé
BTW
2001
Springer
98views Database» more  BTW 2001»
15 years 4 months ago
On Parallel Join Processing in Object-Relational Database Systems
Abstract. So far only few performance studies on parallel object-relational database systems are available. In particular, the relative performance of relational vs. reference-base...
Holger Märtens, Erhard Rahm
FUIN
2002
108views more  FUIN 2002»
14 years 11 months ago
Approximate Entropy Reducts
We use information entropy measure to extend the rough set based notion of a reduct. We introduce the Approximate Entropy Reduction Principle (AERP). It states that any simplificat...
Dominik Slezak
ICDE
2009
IEEE
157views Database» more  ICDE 2009»
16 years 1 months ago
A Rule-Based Classification Algorithm for Uncertain Data
Abstract-- Data uncertainty is common in real-world applications due to various causes, including imprecise measurement, network latency, outdated sources and sampling errors. Thes...
Biao Qin, Yuni Xia, Sunil Prabhakar, Yi-Cheng Tu