Machine Learning for Data Streams: With Practical Examples in Moa

by Bernhard Pfahringer, Ricard Gavalda, Albert Bifet, et al.

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...

• Format: Hardcover
• Language: English
• ISBN: 0262037793
• ISBN13: 9780262037792
• Release Date: March 2018
• Publisher: MIT Press
• Length: 288 Pages
• Weight: 1.60 lbs.
• Dimensions: 1.0" x 7.2" x 9.1"
• Age Range: 18 years and up
• Grade Range: Postsecondary and higher