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» Adaptation to Drifting Concepts
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KDD
2002
ACM
108views Data Mining» more  KDD 2002»
14 years 10 months ago
Incremental Machine Learning to Reduce Biochemistry Lab Costs in the Search for Drug Discovery
This paper promotes the use of supervised machine learning in laboratory settings where chemists have a large number of samples to test for some property, and are interested in id...
George Forman
DIS
2009
Springer
14 years 4 months ago
OMFP: An Approach for Online Mass Flow Prediction in CFB Boilers
Abstract. Fuel feeding and inhomogeneity of fuel typically cause process fluctuations in the circulating fluidized bed (CFB) boilers. If control systems fail to compensate the ...
Indre Zliobaite, Jorn Bakker, Mykola Pechenizkiy
CEAS
2004
Springer
14 years 3 months ago
Personalised, Collaborative Spam Filtering
The state of the art sees content-based filters tending towards collaborative filters, whereby email is filtered at the MTA with users feeding information back about false posit...
Alan Gray, Mads Haahr
RAID
1999
Springer
14 years 1 months ago
Anomaly Intrusion Detection Systems: Handling Temporal Relations Between Events
Lately, many approaches have been developed to discover computer abuse. Some of them use data mining techniques to discover anomalous behavior in audit trail, considering this beh...
Alexandr Seleznyov, Seppo Puuronen
ECAI
2008
Springer
13 years 11 months ago
Online Rule Learning via Weighted Model Counting
Online multiplicative weight-update learning algorithms, such as Winnow, have proven to behave remarkably for learning simple disjunctions with few relevant attributes. The aim of ...
Frédéric Koriche