TY  - BOOK
AU  - Bifet,Albert
AU  - Pfahringer,Bernhard
AU  - Holmes,Geoffrey
AU  - Gavaldà,Ricard
ED  - M.I.T. Press,
ED  - Project Muse.
TI  - Machine Learning for Data Streams : : with Practical Examples in MOA / 
T2  - Adaptive computation and machine learning
SN  - 9780262346047
PY  - 2017///]
CY  - London, England
PB  - The MIT Press
KW  - Neural networks (Computer science)
KW  - fast
KW  - Machine learning
KW  - Database management
KW  - COMPUTERS / Artificial Intelligence / General
KW  - bisacsh
KW  - Apprentissage automatique
KW  - Reseaux neuronaux (Informatique)
KW  - Bases de donnees
KW  - Gestion
KW  - Electronic books.
KW  - local
N1  - 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; Open Access
N2  - 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
UR  - https://muse.jhu.edu/book/60833/
ER  -