SPRI | Current Trends On Knowledge-Based Systems (2017 EN)

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  1. Kanka

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    Author: Giner Alor-Hernández (Editor), Rafael Valencia-García (Editor)
    Full Title: Current Trends On Knowledge-Based Systems
    Publisher: Springer; 1st ed. 2017 edition (March 13, 2017)
    Year: 2017
    ISBN-13: 9783319519050 (978-3-319-51905-0), 9783319519043 (978-3-319-51904-3)
    ISBN-10: 3319519050, 3319519042
    Pages: 290
    Language: English
    Genre: Computer Science: Computational Intelligence and Complexity
    File type: PDF (True)
    Quality: 10/10
    Price: 155.99 €


    This book presents innovative and high-quality research on the implementation of conceptual frameworks, strategies, techniques, methodologies, informatics platforms and models for developing advanced knowledge-based systems and their application in different fields, including Agriculture, Education, Automotive, Electrical Industry, Business Services, Food Manufacturing, Energy Services, Medicine and others.

    Knowledge-based technologies employ artificial intelligence methods to heuristically address problems that cannot be solved by means of formal techniques. These technologies draw on standard and novel approaches from various disciplines within Computer Science, including Knowledge Engineering, Natural Language Processing, Decision Support Systems, Artificial Intelligence, Databases, Software Engineering, etc.

    As a combination of different fields of Artificial Intelligence, the area of Knowledge-Based Systems applies knowledge representation, case-based reasoning, neural networks, Semantic Web and TICs used in different domains.

    The book offers a valuable resource for PhD students, Master’s and undergraduate students of Information Technology (IT)-related degrees such as Computer Science, Information Systems and Electronic Engineering.

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