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He, Haibo

Imbalanced Learning: Foundations, Algorithms, and Applications

He, Haibo - Imbalanced Learning: Foundations, Algorithms, and Applications, ebook

105,60€

Ebook, ePUB with Adobe DRM
ISBN: 9781118646335
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Solving imbalanced learning problems is critical in numerous data-intensive networked systems, including surveillance, security, Internet, finance, biomedical, and defense, to name a few. The first comprehensive look at this new branch of machine learning, this volume offers a critical review of the problem of imbalanced learning, covering the state-of-the-art in techniques, principles, and real-world applications. Scientists and engineers will learn how to tackle the problem of learning from imbalanced datasets, and gain insight into current developments in the field as well as future research direction.

Keywords: Intelligent Systems & Agents, imbalanced learning, artificial intelligence, machine learning, imbalanced datasets, pattern recognition, haibo he, yunqian ma, mitchell, bishop, alpaydin

Author(s)
 
Publisher
John Wiley and Sons, Inc.
Publication year
2013
Language
en
Edition
1
Page amount
216 pages
Category
Technology, Energy, Traffic
Format
Ebook
eISBN (ePUB)
9781118646335
Printed ISBN
9781118074626

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