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" Imbalanced learning : "
edited by Haibo He, Yunqian Ma
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BL
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| Record Number
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661328
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dltt
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| Title & Author
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Imbalanced learning : : foundations, algorithms, and applications /\ edited by Haibo He, Yunqian Ma
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1 online resource
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| ISBN
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9781118646106 (electronic bk.)
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: 111864610X (electronic bk.)
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: 9781118646205 (electronic bk.)
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: 1118646207 (electronic bk.)
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9781118646274
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1118646274
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9781118646335
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1118646339
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9781118074626 (cloth)
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| Abstract
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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
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| Subject
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Data mining.
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Information resources-- Evaluation.
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Information resources management.
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System analysis-- Mathematical models.
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| Dewey Classification
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006.3/12
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| LC Classification
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QA76.9.D343
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| Added Entry
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He, Haibo,1976-
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Ma, Yunqian
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Ohio Library and Information Network.
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Wiley Online Library (Online service)
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