Machine Learning for Data Streams : with Practical Examples in MOA

Machine Learning for Data Streams : with Practical Examples in MOA

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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Bibliographic Details
Main Author: Bifet, Albert (auth)
Other Authors: Gavaldà, Ricard (auth), Holmes, Geoff (auth), Pfahringer, Bernhard (auth)
Format: Book Chapter
Published: Cambridge The MIT Press 2018
Subjects:
Data mining
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
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