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Intelligent Information and Database Systems: Recent Developments

  • Book
  • © 2020

Overview

  • Presents recent research written by experts in the field
  • Includes the edited outcomes of the 11th Asian Conference on Intelligent Information and Database Systems
  • Describes developments in AI, data mining, computational nanotechnology, IoT and much more

Part of the book series: Studies in Computational Intelligence (SCI, volume 830)

Included in the following conference series:

Conference proceedings info: ACIIDS 2019.

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Table of contents (34 chapters)

  1. Sensor Clouds and Internet of Things

  2. Machine Learning and Decision Support Systems

  3. Computer Vision Techniques and Applications

Keywords

About this book

This book presents research reports selected to indicate the state of the art in intelligent and database systems and to promote new research in this field. It includes 34 chapters based on original research presented as posters at the 11th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2019), held in Yogyakarta, Indonesia on 8–11 April 2019.

The increasing use of intelligent and database systems in various fields, such as industry, medicine and science places those two elements of computer science among the most important directions of research and application, which currently focuses on such key technologies as machine learning, cloud computing and processing of big data. It is estimated that further development of intelligent systems and the ability to gather, store and process enormous amounts of data will be needed to solve a number of crucial practical and theoretical problems.

The book is divided into five parts: (a) Sensor Clouds andInternet of Things, (b) Machine Learning and Decision Support Systems, (c) Computer Vision Techniques and Applications, (d) Intelligent Systems in Biomedicine, and (e) Applications of Intelligent Information Systems.

It is a valuable resource for researchers and practitioners interested in increasing the synergy between artificial intelligence and database technologies, as well as for graduate and Ph.D. students in computer science and related fields.

Editors and Affiliations

  • Department of Information Systems, Wrocław University of Science and Technology, Wrocław, Poland

    Maciej Huk, Marcin Maleszka

  • Department of Management, Gdańsk University of Technology, Gdańsk, Poland

    Edward Szczerbicki

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