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ICDE
2009
IEEE
132views Database» more  ICDE 2009»
16 years 8 months ago
Using Anonymized Data for Classification
In recent years, anonymization methods have emerged as an important tool to preserve individual privacy when releasing privacy sensitive data sets. This interest in anonymization t...
Ali Inan, Murat Kantarcioglu, Elisa Bertino
SDM
2007
SIAM
118views Data Mining» more  SDM 2007»
15 years 8 months ago
On Privacy-Preservation of Text and Sparse Binary Data with Sketches
In recent years, privacy preserving data mining has become very important because of the proliferation of large amounts of data on the internet. Many data sets are inherently high...
Charu C. Aggarwal, Philip S. Yu
SSDBM
2005
IEEE
100views Database» more  SSDBM 2005»
16 years 21 days ago
An Information Theoretic Model for Database Alignment
As with many large organizations, the Government's data is split in many different ways and is collected at different times by different people. The resulting massive data he...
Patrick Pantel, Andrew Philpot, Eduard H. Hovy
ISMIR
2005
Springer
206views Music» more  ISMIR 2005»
16 years 18 days ago
Improving Content-Based Similarity Measures by Training a Collaborative Model
We observed that for multimedia data – especially music - collaborative similarity measures perform much better than similarity measures derived from content-based sound feature...
Richard Stenzel, Thomas Kamps
BMCBI
2011
15 years 2 months ago
Using Stochastic Causal Trees to Augment Bayesian Networks for Modeling eQTL Datasets
Background: The combination of genotypic and genome-wide expression data arising from segregating populations offers an unprecedented opportunity to model and dissect complex phen...
Kyle C. Chipman, Ambuj K. Singh