Machine Learning for Data Streams: With Practical Examples in Moa

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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-called data streams, arriving sequentially and at high speed. Analysis must take place in real time, with partial data and without the capacity to store the entire data set. This book presents algorithms and techniques used in ...

Machine Learning for Data Streams: with Practical Examples in MOA 2018, MIT Press, Cambridge, Mass.

ISBN-13: 9780262037792

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