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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Библиографические подробности
Опубликовано в: :Adaptive Computation and Machine Learning series
Главные авторы: Bifet, Albert, Gavaldà, Ricard, Holmes, Geoff, Pfahringer, Bernhard
Формат: Livro
Язык:Inglês
Опубликовано: The MIT Press 2018
Предметы:
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
data mining
stream
data
mining
statistics
techniques
analysis
learning
extract
algorithm
data stream
MOA
massive online analysis
software
implementation
applications
approximation
big data
Online-ссылка:https://directory.doabooks.org/handle/20.500.12854/78554
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