Machine Learning for Data Streams: with Practical Examples in MOA - Couverture rigide

Bifet, Albert; Gavalda, Ricard; Holmes, Geoffrey; Pfahringer, Bernhard

 
9780262037792: Machine Learning for Data Streams: with Practical Examples in MOA
Couverture rigide
ISBN 10 : 0262037793 ISBN 13 : 9780262037792
Editeur : The MIT Press, 2018

Synopsis

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 data stream mining and real-time analytics. Taking a hands-on approach, the book demonstrates the techniques using MOA (Massive Online Analysis), a popular, freely available open-source software framework, allowing readers to try out the techniques after reading the explanations.

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. The book will be an essential reference for readers who want to use data stream mining as a tool, researchers in innovation or data stream mining, and programmers who want to create new algorithms for MOA.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Albert Bifet is Professor of Computer Science at Télécom ParisTech.

Ricard Gavaldà is Professor of Computer Science at the Politècnica de Catalunya, Barcelona.

Geoff Holmes is Professor and Dean of Computing at the University of Waikato in Hamilton, New Zealand.

Bernhard Pfahringer is Professor of Computer Science at the University of Auckland, New Zealand.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
The MIT Press
Date d'édition
2018
Langue
anglais
ISBN 10 
0262037793
ISBN 13 
9780262037792
Reliure
Relié
Nombre de pages
288
Coordonnées du fabricant
non disponible
Personne responsable
non disponible

Autres éditions populaires du même titre

9780262547833: Machine Learning for Data Streams: with Practical Examples in MOA

Edition présentée

ISBN 10 :  026254783X ISBN 13 :  9780262547833
Editeur : MIT Press, 2023
Couverture souple