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.
Editors and Affiliations
Department of Information Systems, Wrocław University of Science and Technology, Wrocław, Poland
Andrzej Sieminski,
Adrianna Kozierkiewicz
Department of Information Systems and Computing, Complutense University of Madrid, Madrid, Spain
Manuel Nunez
Faculty of Information Technology, Vietnam National University, Hanoi, Vietnam
Quang Thuy Ha
Bibliographic Information
Book Title: Modern Approaches for Intelligent Information and Database Systems
Editors: Andrzej Sieminski, Adrianna Kozierkiewicz, Manuel Nunez, Quang Thuy Ha
