78 search results - page 9 / 16 » Mining concept-drifting data streams using ensemble classifi... |
101
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SDM
2007
SIAM
15 years 1 months ago
2007
SIAM
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
ADBIS
2003
Springer
15 years 4 months ago
2003
Springer
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...
100
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IDA
2010
Springer
15 years 1 months ago
2010
Springer
We present a data mining approach to model the cooling infrastructure in data centers, particularly the chiller ensemble. These infrastructures are poorly understood due to the lac...
103
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DATAMINE
2006
14 years 11 months ago
2006
Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
KDD
2003
ACM
16 years 1 days ago
2003
ACM
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...