Machine Learning for Data Streams : with Practical Examples in MOA /

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.

Detalles Bibliográficos
Autores principales: Bifet, Albert (Autor), Pfahringer, Bernhard (Autor), Holmes, Geoffrey (Autor), Gavaldà, Ricard, 1964- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, England : The MIT Press, [2017]
Colección:Book collections on Project MUSE.
Temas:
Neural networks (Computer science)
Machine learning.
Database management.
COMPUTERS / Artificial Intelligence / General.
Apprentissage automatique.
Reseaux neuronaux (Informatique)
Bases de donnees > Gestion.
Electronic books.
Acceso en línea:Texto completo

MARC

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020 |z 9780262037792 
035 |a (OCoLC)1042908181 
040 |a MdBmJHUP  |c MdBmJHUP 
100 1 |a Bifet, Albert,  |e author. 
245 1 0 |a Machine Learning for Data Streams :   |b with Practical Examples in MOA /   |c Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer. 
264 1 |a London, England :  |b The MIT Press,  |c [2017] 
264 3 |a Baltimore, Md. :  |b Project MUSE,   |c 2018 
264 4 |c ©[2017] 
300 |a 1 online resource:   |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 0 |a Adaptive computation and machine learning 
505 0 |a 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 
506 0 |a Open Access  |f Unrestricted online access  |2 star 
520 |a 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. 
588 |a Description based on print version record. 
650 7 |a Neural networks (Computer science)  |2 fast  |0 (OCoLC)fst01036260 
650 7 |a Machine learning.  |2 fast  |0 (OCoLC)fst01004795 
650 7 |a Database management.  |2 fast  |0 (OCoLC)fst00888037 
650 7 |a COMPUTERS / Artificial Intelligence / General.  |2 bisacsh 
650 6 |a Apprentissage automatique. 
650 6 |a Reseaux neuronaux (Informatique) 
650 6 |a Bases de donnees  |x Gestion. 
650 0 |a Machine learning. 
650 0 |a Neural networks (Computer science) 
650 0 |a Database management. 
655 7 |a Electronic books.   |2 local 
700 1 |a Pfahringer, Bernhard,  |e author. 
700 1 |a Holmes, Geoffrey,  |e author. 
700 1 |a Gavaldà, Ricard,  |d 1964-  |e author. 
710 2 |a M.I.T. Press,  |e publisher. 
710 2 |a Project Muse.  |e distributor 
830 0 |a Book collections on Project MUSE. 
856 4 0 |z Texto completo  |u https://projectmuse.uam.elogim.com/book/60833/ 

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