Machine Learning for Data Streams with Practical Examples in MOA

• Главный автор: Bifet, Albert (auth)
• Другие авторы: Gavaldà, Ricard (auth), Holmes, Geoff (auth), Pfahringer, Bernhard (auth)
• Формат: Электронный ресурс Глава книги
• Язык: английский
• Опубликовано: Cambridge The MIT Press 2018
• Серии: Adaptive Computation and Machine Learning series
• Предметы: 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
• Online-ссылка: DOAB: download the publication; DOAB: description of the publication

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...