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KDD
2004
ACM
118views Data Mining» more  KDD 2004»
16 years 8 months ago
Parallel computation of high dimensional robust correlation and covariance matrices
The computation of covariance and correlation matrices are critical to many data mining applications and processes. Unfortunately the classical covariance and correlation matrices...
James Chilson, Raymond T. Ng, Alan Wagner, Ruben H...
ICDE
2011
IEEE
253views Database» more  ICDE 2011»
14 years 11 months ago
Preventing equivalence attacks in updated, anonymized data
—In comparison to the extensive body of existing work considering publish-once, static anonymization, dynamic anonymization is less well studied. Previous work, most notably
Yeye He, Siddharth Barman, Jeffrey F. Naughton
CORR
2010
Springer
103views Education» more  CORR 2010»
15 years 7 months ago
Exploratory Analysis of Functional Data via Clustering and Optimal Segmentation
We propose in this paper an exploratory analysis algorithm for functional data. The method partitions a set of functions into K clusters and represents each cluster by a simple pr...
Georges Hébrail, Bernard Hugueney, Yves Lec...
KDD
2000
ACM
153views Data Mining» more  KDD 2000»
15 years 11 months ago
The generalized Bayesian committee machine
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Volker Tresp
UM
2005
Springer
16 years 1 months ago
Data-Driven Refinement of a Probabilistic Model of User Affect
We present further developments in our work on using data from real users to build a probabilistic model of user affect based on Dynamic Bayesian Networks (DBNs) and designed to de...
Cristina Conati, Heather Maclaren