Table of Contents

List of Figures xiii
List of Tables xvii
Preface xix
I Introduction 1
1 Introduction 3
2 Big Data Stream Mining 11
3 Hands-on Introduction to MOA 21
II Stream Mining 33
4 Streams and Sketches 35
5 Dealing with Change 67
6 Classification 85
7 Ensemble Methods 129
8 Regression 143
9 Clustering 149
10 Frequent Pattern Mining 165
III The MOA Software 185
11 Introduction to MOA and Its Ecosystem 187
12 The Graphical User Interface 201
13 Using the Command Line 217
14 Using the API
15 Developing New Methods in MOA 227
Bibliography 239
Index 257

About the Author

Albert Bifet is Professor of Computer Science at Telecom ParisTech.
Ricard Gavald is Professor of Computer Science at the Polit cnica 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.