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Machine Learning for Data Streams

A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework. Today many information sources—including sensor networks, financial markets, social networks, and healthcare monitoring—are so-c...

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Guardado en:
Autores principales: Bifet, Albert, Gavaldà, Ricard, Holmes, Geoff, Pfahringer, Bernhard
Formato: Online
Lenguaje:inglés
Publicado: The MIT Press 2022
Materias:
data mining
stream
data
mining
statistics
techniques
analysis
learning
extract
algorithm
data stream
MOA
massive online analysis
software
implementation
applications
approximation
big data
thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
Acceso en línea:ONIX_20220221_9780262346047_74
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