Batch Weighted Ensemble for Mining Data Streams with Concept Drift

Magdalena Deckert

doi:10.1007/978-3-642-21916-0_32

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Batch Weighted Ensemble for Mining Data Streams with Concept Drift

Magdalena Deckert

Year: 2011 Lecture notes in computer science Pages: 290-299 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-21916-0_32

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Keywords:

Concept drift Computer science Ensemble learning Data mining Classifier (UML) Artificial intelligence Data stream mining Ensemble forecasting Data stream Detector Pattern recognition (psychology) Machine learning

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Topics

Data Stream Mining Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and Data Classification

Physical Sciences → Computer Science → Artificial Intelligence

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Batch Weighted Ensemble for Mining Data Streams with Concept Drift

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