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Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts

by Joan Lu
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Hardback
10 February 2017
$486.56
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Across numerous industries in modern society, there is a constant need to gather precise and relevant data efficiently and quickly. As such, it is imperative to research new methods and approaches to increase productivity in these areas. Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts is a key source on the latest advancements in multidisciplinary research methods and applications and examines effective techniques for managing and utilizing information resources. Featuring extensive coverage across a range of relevant perspectives and topics, such as knowledge discovery, spatial indexing, and data mining, this book is ideally designed for researchers, graduate students, academics, and industry professionals seeking ways to optimize knowledge management processes.

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    Product Details
    ISBN-13
    9781522518846
    Author
    Joan Lu
    Publisher
    IGI Global
    Published
    10 February 2017
    Format
    Hardback

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    $486.56
    Ships in 3-5 business days

    Delivery estimate

    Hurry up! Current stock:

    Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts

    $486.56

    Description

    Across numerous industries in modern society, there is a constant need to gather precise and relevant data efficiently and quickly. As such, it is imperative to research new methods and approaches to increase productivity in these areas. Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts is a key source on the latest advancements in multidisciplinary research methods and applications and examines effective techniques for managing and utilizing information resources. Featuring extensive coverage across a range of relevant perspectives and topics, such as knowledge discovery, spatial indexing, and data mining, this book is ideally designed for researchers, graduate students, academics, and industry professionals seeking ways to optimize knowledge management processes.

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