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Machine learning for data streams with practical examples in MOA / [electronic resource] :
- 作者: Bifet, Albert, author.
- 其他作者:
- 其他題名:
- Adaptive computation and machine learning.
- 出版: [Piscataqay, New Jersey] : IEEE Xplore
- 叢書名: Adaptive computation and machine learning
- 主題: Database management. , Neural networks (Computer science) , Machine learning. , Electronic books.
- ISBN: 9780262346054 (electronic bk.) 、 9780262346047 (electronic bk.) 、 0262346044 (electronic bk.)
- FIND@SFXID: CGU
- 資料類型: 電子書
- 內容註: Includes bibliographical references and index. 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
- 摘要註: 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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讀者標籤:
- 系統號: 005484340 | 機讀編目格式