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» Integrating and Mining Distributed Customer Databases
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EDBTW
2010
Springer
14 years 2 months ago
A practice-oriented framework for measuring privacy and utility in data sanitization systems
Published data is prone to privacy attacks. Sanitization methods aim to prevent these attacks while maintaining usefulness of the data for legitimate users. Quantifying the trade-...
Michal Sramka, Reihaneh Safavi-Naini, Jörg De...
MSS
1999
IEEE
137views Hardware» more  MSS 1999»
13 years 11 months ago
Overview of a TRW Pilot Program
Recently TRW fielded a prototype system for a government customer. It provides a wide range of capabilities including data collection, hierarchical storage, automated distribution...
William A. Olsen
ICDM
2003
IEEE
220views Data Mining» more  ICDM 2003»
14 years 23 days ago
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Z...
ICDE
2008
IEEE
136views Database» more  ICDE 2008»
14 years 8 months ago
Validating Multi-column Schema Matchings by Type
Validation of multi-column schema matchings is essential for successful database integration. This task is especially difficult when the databases to be integrated contain little o...
Bing Tian Dai, Nick Koudas, Divesh Srivastava, Ant...
BMCBI
2010
155views more  BMCBI 2010»
13 years 7 months ago
FunctSNP: an R package to link SNPs to functional knowledge and dbAutoMaker: a suite of Perl scripts to build SNP databases
Background: Whole genome association studies using highly dense single nucleotide polymorphisms (SNPs) are a set of methods to identify DNA markers associated with variation in a ...
Stephen J. Goodswen, Cedric Gondro, Nathan S. Wats...