Imbalanced Learning: Foundations, Algorithms, and Applications

    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.

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    Number of Pages: 216
    Format(s): Hardback - ISBN: 9781118074626
    Publication Date:
    Listed in: Machine learning
    Publisher: John Wiley & Sons Inc

    Hardback

    RRP: £80.50

    Sale Price: £50.76

    Save: £29.74 per copy!

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