Editors:
- Covers the latest advances in intelligent social networks and collaborative systems that lead to competitive advantages in business and academic contexts
- Includes the Proceedings of the 9th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2017), held on August 24–26, 2017 in Toronto, Canada
- Stimulates research that leads to the creation of responsive environments for networking and, in the longer-term, the development of adaptive, secure, mobile, and intuitive intelligent systems for collaborative work and learning
Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 8)
Conference series link(s): INCoS: International Conference on Intelligent Networking and Collaborative Systems
Conference proceedings info: INCoS 2017.
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (54 papers)
-
Front Matter
-
The 9th International Conference on International Conference on Intelligent Networking and Collaborative Systems (INCoS-2017)
-
Front Matter
-
About this book
The aim of this book is to provide the latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems, secure intelligent cloud systems, etc., and to reveal synergies among various paradigms in the multi-disciplinary field of intelligent collaborative systems. It presents the Proceedings of the 9th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2017), held on August 24–26, 2017 in Toronto, Canada.
With the rapid evolution of the Internet, we are currently experiencing a shift from the traditional sharing of information and applications as the main purpose of the Web to an emergent paradigm that puts people at the very centre of networks and exploits the value of people’s connections, relations and collaborations. Social networks are also pla
ying a major role in the dynamics and structure of intelligent Web-based networking and collaborative systems.Virtual campuses, virtual communities and organizations effectively leverage intelligent networking and collaborative systems by tapping into a broad range of formal and informal electronic relations, such as business-to-business, peer-to-peer and many types of online collaborative learning interactions, including the emerging e-learning systems. This has resulted in entangled systems that need to be managed efficiently and autonomously. In addition, the latest and powerful technologies based on Grid and wireless infrastructure as well as Cloud computing are now greatly enhancing collaborative and networking applications, but are also facing new issues and challenges. The principal objective of the research and development community is to stimulate research that leads to the creation of responsive environments for networking and, in the longer-term, the developmen
t of adaptive, secure, mobile, and intuitive intelligent systems for collaborative work and learning.Editors and Affiliations
-
Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan
Leonard Barolli
-
Department of Computer Science, Ryerson University, Toronto, Canada
Isaac Woungang
-
School of Business, UNSW Australia, Canberra, Australia
Omar Khadeer Hussain
Bibliographic Information
Book Title: Advances in Intelligent Networking and Collaborative Systems
Book Subtitle: The 9th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2017)
Editors: Leonard Barolli, Isaac Woungang, Omar Khadeer Hussain
Series Title: Lecture Notes on Data Engineering and Communications Technologies
DOI: https://doi.org/10.1007/978-3-319-65636-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Softcover ISBN: 978-3-319-65635-9Published: 17 August 2017
eBook ISBN: 978-3-319-65636-6Published: 14 August 2017
Series ISSN: 2367-4512
Series E-ISSN: 2367-4520
Edition Number: 1
Number of Pages: XLII, 603
Number of Illustrations: 267 b/w illustrations
Topics: Computational Intelligence, Artificial Intelligence, Big Data