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SDM
2007
SIAM
118views Data Mining» more  SDM 2007»
14 years 9 days 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
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 11 months ago
Transforming data to satisfy privacy constraints
Data on individuals and entities are being collected widely. These data can contain information that explicitly identifies the individual (e.g., social security number). Data can ...
Vijay S. Iyengar
PKDD
1999
Springer
118views Data Mining» more  PKDD 1999»
14 years 3 months ago
Mining Possibilistic Set-Valued Rules by Generating Prime Disjunctions
We describe the problem of mining possibilistic set-valued rules in large relational tables containing categorical attributes taking a finite number of values. An example of such a...
Alexandr A. Savinov
KDD
2000
ACM
142views Data Mining» more  KDD 2000»
14 years 2 months ago
Automating exploratory data analysis for efficient data mining
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...
Jonathan D. Becher, Pavel Berkhin, Edmund Freeman
KDD
2001
ACM
113views Data Mining» more  KDD 2001»
14 years 11 months ago
Mining massively incomplete data sets by conceptual reconstruction
Charu C. Aggarwal, Srinivasan Parthasarathy