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» Privacy in Data Mining Using Formal Methods
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DASFAA
2008
IEEE
149views Database» more  DASFAA 2008»
13 years 11 months ago
A Test Paradigm for Detecting Changes in Transactional Data Streams
A pattern is considered useful if it can be used to help a person to achieve his goal. Mining data streams for useful patterns is important in many applications. However, data stre...
Willie Ng, Manoranjan Dash
KDD
2003
ACM
161views Data Mining» more  KDD 2003»
14 years 10 months ago
Empirical Bayesian data mining for discovering patterns in post-marketing drug safety
Because of practical limits in characterizing the safety profiles of therapeutic products prior to marketing, manufacturers and regulatory agencies perform post-marketing surveill...
David M. Fram, June S. Almenoff, William DuMouchel
PKDD
2005
Springer
130views Data Mining» more  PKDD 2005»
14 years 3 months ago
Unsupervised Discretization Using Tree-Based Density Estimation
This paper presents an unsupervised discretization method that performs density estimation for univariate data. The subintervals that the discretization produces can be used as the...
Gabi Schmidberger, Eibe Frank
ICMCS
2007
IEEE
228views Multimedia» more  ICMCS 2007»
14 years 4 months ago
Dynamic Privacy in a Smart House Environment
— A smart house can be regarded as a surveillance environment in which the person being observed carries out activities that range from intimate to more public. What can be obser...
Simon Moncrieff, Svetha Venkatesh, Geoff A. W. Wes...
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
12 years 21 days ago
Sampling minimal frequent boolean (DNF) patterns
We tackle the challenging problem of mining the simplest Boolean patterns from categorical datasets. Instead of complete enumeration, which is typically infeasible for this class ...
Geng Li, Mohammed J. Zaki