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.
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| Main Authors: | , , , |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
London, England :
The MIT Press,
[2017]
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| Series: | Book collections on Project MUSE.
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| Subjects: | |
| Online Access: | Full text available: |
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| 003 | MdBmJHUP | ||
| 005 | 20240815120749.0 | ||
| 006 | m o d | ||
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| 008 | 180605s2018 mau o 00 0 eng d | ||
| 020 | |a 9780262346047 | ||
| 020 | |z 0262346044 | ||
| 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 Full text available: |u https://muse.jhu.edu/book/60833/ |
| 999 | |c 232093 |d 232092 | ||