Title Machine learning for data streams : with practical examples in MOA / Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer.

Publication Info.	Cambridge, Massachusetts ; London, England : The MIT Press, [2017]
	[Piscataqay, New Jersey] : IEEE Xplore, [2018]

Copies

Location	Call No.	Status
University of Saint Joseph: Pope Pius XII Library - Internet	WORLD WIDE WEB E-BOOK MIT	Downloadable
Please click here to access this MIT resource

Description	1 online resource (xxi, 262 pages) : illustrations.
Series	Adaptive computation and machine learning
	Adaptive computation and machine learning.
Bibliography	Includes bibliographical references and index.
Note	PDF viewed 06/05/2018.
Contents	Intro; Contents; List of Figures; List of Tables; Preface; I INTRODUCTION; 1 Introduction; 2 Big Data Stream Mining; 3 Hands-on Introduction to MOA; II STREAM MINING; 4 Streams and Sketches; 5 Dealing with Change; 6 Classification; 7 Ensemble Methods; 8 Regression; 9 Clustering; 10 Frequent Pattern Mining; III THE MOA SOFTWARE; 11 Introduction to MOA and Its Ecosystem; 12 The Graphical User Interface; 13 Using the Command Line; 14 Using the API; 15 Developing New Methods in MOA; Bibliography; Index
Summary	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.
Local Note	MIT Press DTL OA MIT Titles
Subject	Database management.
	Neural networks (Computer science)
	Machine learning.
	Database management. (OCoLC)fst00888037
	Machine learning. (OCoLC)fst01004795
	Neural networks (Computer science) (OCoLC)fst01036260
Genre/Form	Electronic books.
Added Author	Gavaldà, Ricard, 1964- author.
	Holmes, Geoffrey, author.
	Pfahringer, Bernhard, author.
	MIT Press, publisher.
Other Form:	Print version: 9780262037792
ISBN	9780262346047 (electronic)
	0262346044 (electronic)
Standard No.	9780262346047
ISBN	9780262037792
	0262037793

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