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    Shakarian, P. Geospatial Abduction : principles and Practice / by Paulo Shakarian, V. S. Subrahmanian. - Electronic text data. - New York, NY : Springer, 2011. - URL: http://dx.doi.org/10.1007/978-1-4614-1794-1. - Загл. с экрана. - ISBN 978-1-4614-1794-1. - DOI 10.1007/978-1-4614-1794-1. - Текст : электронный.
    Содержание:
    Introduction -- Point-based Geospatial Abduction -- Region-Based Geospatial Abduction -- Geospatial Abduction with Adaptive Adversaries -- Two Real-World Geospatial Abduction Applications -- Index.
    ГРНТИ УДК
    39.01.8591:004

    Рубрики:
    computer science
    computers
    computer science -- Mathematics.
    data mining
    artificial intelligence
    geographical information systems
    computer Science
    artificial Intelligence (incl Robotics)
    math Applications in Computer Science
    geographical Information Systems/Cartography
    data Mining and Knowledge Discovery
    theory of Computation

    Аннотация: Imagine yourself as a military officer in a conflict zone trying to identify locations of weapons caches supporting road-side bomb attacks on your country’s troops. Or imagine yourself as a public health expert trying to identify the location of contaminated water that is causing diarrheal diseases in a local population. Geospatial abduction is a new technique introduced by the authors that allows such problems to be solved. Geospatial Abduction provides the mathematics underlying geospatial abduction and the algorithms to solve them in practice; it has wide applicability and can be used by practitioners and researchers in many different fields. Real-world applications of geospatial abduction to military problems are included. Compelling examples drawn from other domains as diverse as criminology, epidemiology and archaeology are covered as well. This book also includes access to a dedicated website on geospatial abduction hosted by University of Maryland. Geospatial Abduction targets practitioners working in general AI, game theory, linear programming, data mining, machine learning, and more. Those working in the fields of computer science, mathematics, geoinformation, geological and biological science will also find this book valuable.
    Доп. точки доступа:
    Subrahmanian, V.S.
    Экз-ры полностью -416936971



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