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University of Bedfordshire
Park Square
Luton
Bedfordshire
UK, LU1 3JU
Chapter Proposals Submission Deadline: 28/02/2010
Full Chapters Due: 15/07/2010
A book edited by:
Dr Nik Bessis, University of Bedfordshire, United Kingdom
Dr Fatos Xhafa, University of London (Birkbeck), United Kingdom
To be published in the “Studies in Computational Intelligence” book series, Springer (2011)
The use of collaborative decision and management support systems has evolved over the years through developments in distributed computational science in a manner, which provides applicable intelligence in decision-making. The rapid developments in networking and resource integration domains have resulted in the emergence and in some instances to the maturation of distributed and collaborative paradigms such as Web Services, P2P, Grid and Cloud computing, Data Mashups and Web 2.0. Recent implementations in these areas demonstrate the applicability of the aforementioned next generation technologies in a manner, which seems the panacea for solving very complex problems and grand challenges. A broad range of issues are currently being addressed; however, most of these developments are focused on developing the platforms and the communication and networking infrastructures for solving these very complex problems, which in most instances are well-known challenges. The enabling nature of these technologies allows us to visualize their collaborative and synergetic use in a less conventional manner which are currently problem focused.
In this book, the focus is on the viewpoints of the organizational setting as well as on the user communities, which those organizations cater to. The book appreciates that in many real-world situations an understanding – using computational techniques – of the organization and the user community needs is a computational intelligence itself. Specifically, current Web and Web 2.0 implementations and future manifestations will store and continuously produce a vast amount of distributed data, which if combined and analyzed through a collective and computational intelligence manner using next generation data technologies will make a difference in the organizational settings and their user communities. Thus, the focus of this book is about the methods and technologies which bring various next generation data technologies together to capture, integrate, analyze, mine, annotate and visualize distributed data – made available from various community users – in a meaningful and collaborative for the organization manner.
In brief, the overall objective of this book is to encapsulate works incorporating various next generation distributed and other emergent collaborative data technologies for collective and computational intelligence, which are also applicable in various organizational settings. Thus, the book aims to cover in a comprehensive manner the combinatorial effort of utilizing and integrating various next generation collaborative and distributed data technologies for computational intelligence in various scenarios. The book also distinguishes itself by focusing on assessing whether utilization and integration of next generation data technologies can assist in the identification of new opportunities, which may also be strategically fit for purpose.
Although contributions will be open from both academia and industry practitioners and researchers, the audiences of this book are those working in or are interested in joining interdisciplinary works in the areas of collaborative computational intelligence using emergent distributed computing paradigms. Specifically, audiences who are broadly involved in the domains of computer science, computer engineering, applied informatics, business or management information systems and are: (1) researchers or senior graduates working in academia; (2) academics, instructors and senior students in colleges and universities, and (3) software developers.
Topics:
Chapters should be written in a manner readable for both specialists and non-specialists. Chapters could address issues related to past, present and future collective computation intelligence methods, theories and practices. These should be focused on next generation paradigms and with a particular focus (but not limited) to Data Stream, Click stream, Distributed Data Capture, Data Architecture, Data Integration, Data Push, Data Grids, Distributed Data Analysis and Modeling, Distributed Data Resource Discovery, Allocation and Management, Distributed Data/Text Mining, Data Annotation, Data Clustering, Partitioning, Cloud Computing, P2P, Data Next Generation Visualization, Data Mashups, Web 2.0, Decision Making, Data Knowledge Management, Data Scheduling, Data Query Systems and Languages.
Recommended topic areas include, but are not limited to:
Critical Reviews on:
Theory and Strategies Fundamentals in Collective Computational Intelligence
Next Generation Technologies for Collective Computational Intelligence
Applications of Next Generation Technologies for Collective Computational Intelligence
Future Concepts and Theories for Collective Computational Intelligence
Academics, researchers and practitioners are invited to submit by 28 February 2010, a 2-page manuscript proposal detailing the background, motivations and structure of their proposed chapter. Authors of accepted proposals will be notified by 15 March 2010 and will be given instructions and guidelines for chapter preparation. Full chapters are due on 15 July 2010 and should be of 8,000 words in length and/or between 25 to 30 pages long. All chapters will be reviewed on a double-blind basis. The book is scheduled to be published in the “Studies in Computational Intelligence” book series, Springer. For information about the publisher and the book series, visit http://www.springer.com/series/7092. This publication is anticipated to be released in 2011.
28 February 2010: 2-page Proposal Submission Deadline
15 March 2010: Notification of Proposal Acceptance
15 July 2010: Full Chapter Submission (in Word or PDF)
31 August 2010: Notification of Full Chapter Acceptance
15 October 2010: Revised Chapter Submission
15 November 2010: Final Notification of Acceptance
30 November 2010: Final Material Submission
Dr Nik Bessis
University of Bedfordshire, United Kingdom
E-Mail: nik.bessis@beds.ac.uk
URL: http://www.beds.ac.uk/departments/computing/staff/nik-bessis
or
Dr Fatos Xhafa
University of London (Birkbeck), United Kingdom
E-Mail: fatos@lsi.upc.edu
Apply» Faculties & Departments» Department of Computer Science and Technology» Staff» Dr Nik Bessis» Next Generation Data Technologies for Computational Intelligence
