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DMIN
2006
124views Data Mining» more  DMIN 2006»
13 years 9 months ago
Use of Multivariate Data Analysis for Lumber Drying Process Monitoring and Fault Detection
Process monitoring refers to the task of detecting abnormal process operations resulting from the shift in the mean and/or the variance of one or more process variables. To success...
Mouloud Amazouz, Radu Pantea
VLDB
2007
ACM
139views Database» more  VLDB 2007»
14 years 1 months ago
A Bayesian Method for Guessing the Extreme Values in a Data Set
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...
Mingxi Wu, Chris Jermaine
TSP
2010
13 years 2 months ago
Statistical detection of congestion in routers
Detection of congestion plays a key role in numerous networking protocols, including those driving Active Queue Management (AQM) methods used in congestion control in Internet rout...
Ivan D. Barrera, Stephan Bohacek, Gonzalo R. Arce
ICAIL
2003
ACM
14 years 1 months ago
Concept Extraction from Legal Cases: The Use of a Statistic of Coincidence
Effective retrieval of court decisions is important. Automatically identifying legal concepts in the decision texts would be very helpful. In this paper we investigate how a stat...
Marie-Francine Moens, Roxana Angheluta
NIPS
2004
13 years 9 months ago
Active Learning for Anomaly and Rare-Category Detection
We introduce a novel active-learning scenario in which a user wants to work with a learning algorithm to identify useful anomalies. These are distinguished from the traditional st...
Dan Pelleg, Andrew W. Moore