68 search results - page 2 / 14 » Automatic Outlier Detection: A Bayesian Approach |
KDD
2009
ACM
14 years 1 days ago
2009
ACM
How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of applications, e.g. in economy, biology and medicine. Existing ...
ESANN
2004
13 years 6 months ago
2004
Abstract. Bayesian approaches to density estimation and clustering using mixture distributions allow the automatic determination of the number of components in the mixture. Previou...
VLDB
2007
ACM
13 years 11 months ago
2007
ACM
For a large number of data management problems, it would be very useful to be able to obtain a few samples from a data set, and to use the samples to guess the largest (or smalles...
SIGMOD
2010
ACM
13 years 10 months ago
2010
ACM
Real-world databases often contain syntactic and semantic errors, in spite of integrity constraints and other safety measures incorporated into modern DBMSs. We present ERACER, an...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Nuclear magnetic resonance (NMR) spectral analysis has recently become one of the major means for the detection and recognition of metabolic changes of disease state, physiologica...