Imbalanced learning: foundations, algorithms, and applications
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Bibliographic Details
Format: Electronic eBook
Language:English
Published: Hoboken, New Jersey John Wiley & Sons, Inc. [2013]
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Online Access:FRO01
UBG01
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FHN01
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Item Description:Includes bibliographical references and index
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
Physical Description:1 Online-Ressource
ISBN:9781118646335
1118646339
9781118646205
1118646207
9781118646274
1118646274
9781118646106
111864610X
1118074629
9781118074626
9781299665118
129966511X

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