Modern approaches for intelligent information and database systems /

This book offers a unique blend of reports on both theoretical models and their applications in the area of Intelligent Information and Database Systems. The reports cover a broad range of research topics, including advanced learning techniques, knowledge engineering, Natural Language Processing (NL...

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Bibliographic Details
Group Author: Siemiński, Andrzej (Editor); Kozierkiewicz, Adrianna (Editor); Núñez, Manuel (Editor); Ha, Quang Thuy (Editor)
Published: Springer,
Publisher Address: Cham, Switzerland :
Publication Dates: [2018]
Literature type: Book
Language: English
Series: Studies in computational intelligence, volume 769
Subjects:
Summary: This book offers a unique blend of reports on both theoretical models and their applications in the area of Intelligent Information and Database Systems. The reports cover a broad range of research topics, including advanced learning techniques, knowledge engineering, Natural Language Processing (NLP), decision support systems, Internet of things (IoT), computer vision, and tools and techniques for Intelligent Information Systems. They are extended versions of papers presented at the ACIIDS 2018 conference (10th Asian Conference on Intelligent Information and Database Systems), which was held in Dong Hoi City, Vietnam on 19-21 March 2018. What all researchers and students of computer science need is a state-of-the-art report on the latest trends in their respective areas of interest. Over the years, researchers have proposed increasingly complex theoretical models, which provide the theoretical basis for numerous applications. The applications, in turn, have a profound influence on virtually every aspect of human activities, while also allowing us to validate the underlying theoretical concepts.
Carrier Form: xiii, 541 pages : illustrations (some color), color maps ; 24 cm.
Bibliography: Includes bibliographical references and index.
ISBN: 9783319760803
3319760807
9783319760827
3319760823
9783030093983
3030093980
Index Number: Q335
CLC: TP311.13
TP393.4
TP18
Call Number: TP18/M689-2