Book Details


Machine Learning for Data Streams: with Practical Examples in MOA

Publication year: 2018

ISBN: 9780262346047

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The book first offers a brief introduction to the topic, covering big data mining, basic methodologies for mining data streams, and a simple example of MOA. More detailed discussions follow, with chapters on sketching techniques, change, classification, ensemble methods, regression, clustering, and frequent pattern mining. Most of these chapters include exercises, an MOA-based lab session, or both. Finally, the book discusses the MOA software, covering the MOA graphical user interface, the command line, use of its API, and the development of new methods within MOA.

Subject: Computer Science, Database management, Neural networks, Machine learning, Artificial Intelligence