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Web, Artificial Intelligence and Network Applications

Proceedings of the Workshops of the 34th International Conference on Advanced Information Networking and Applications (WAINA-2020)

  • Conference proceedings
  • © 2020

Overview

  • Presents recent research in Web, artificial intelligence and information networking
  • Gathers the proceedings of the workshops of the 34th International Conference on Advanced Information Networking and Applications (WAINA-2020), held in Caserta, Italy, from 15 to 17 April 2020
  • Written by experts in the field

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1150)

Included in the following conference series:

Conference proceedings info: WAINA 2020.

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Table of contents (130 papers)

  1. The 16th International Symposium on Frontiers of Information Systems and Network Applications (FINA-2020)

  2. The 16th International Workshop on Heterogeneous Wireless Networks (HWISE-2020)

  3. The 13th International Symposium on Mining and Web (MAW-2020)

Other volumes

  1. Web, Artificial Intelligence and Network Applications

Keywords

About this book

This proceedings book presents the latest research findings, and theoretical and practical perspectives on innovative methods and development techniques related to the emerging areas of Web computing, intelligent systems and Internet computing. The Web has become an important source of information, and techniques and methodologies that extract quality information are of paramount importance for many Web and Internet applications. Data mining and knowledge discovery play a key role in many of today's major Web applications, such as e-commerce and computer security. Moreover, Web services provide a new platform for enabling service-oriented systems. The emergence of large-scale distributed computing paradigms, such as cloud computing and mobile computing systems, has opened many opportunities for collaboration services, which are at the core of any information system. Artificial intelligence (AI) is an area of computer science that builds intelligent systems and algorithms that work andreact like humans. AI techniques and computational intelligence are powerful tools for learning, adaptation, reasoning and planning, and they have the potential to become enabling technologies for future intelligent networks. Research in the field of intelligent systems, robotics, neuroscience, artificial intelligence and cognitive sciences is vital for the future development and innovation of Web and Internet applications. Chapter "An Event-Driven Multi Agent System for Scalable Traffic Optimization" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Editors and Affiliations

  • Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  • Department of Electrical Engineering and Information Technology, University of Naples “Frederico II”, Naples, Italy

    Flora Amato

  • Department of Political Science, University of Campania Luigi Vanvitelli, Caserta, Italy

    Francesco Moscato

  • Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  • Department of Advanced Sciences, Hosei University, Tokyo, Japan

    Makoto Takizawa

Bibliographic Information

  • Book Title: Web, Artificial Intelligence and Network Applications

  • Book Subtitle: Proceedings of the Workshops of the 34th International Conference on Advanced Information Networking and Applications (WAINA-2020)

  • Editors: Leonard Barolli, Flora Amato, Francesco Moscato, Tomoya Enokido, Makoto Takizawa

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-030-44038-1

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-44037-4Published: 31 March 2020

  • eBook ISBN: 978-3-030-44038-1Published: 30 March 2020

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: LXXX, 1433

  • Number of Illustrations: 152 b/w illustrations, 471 illustrations in colour

  • Topics: Computational Intelligence, Data Engineering, Artificial Intelligence

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