[AISWorld] Call for chapter proposals for book "Enterprise Big Data Engineering, Analytics, and Management"

[Thomas Roth-Berghofer]

CALL FOR CHAPTER PROPOSALS
Proposal Submission Deadline: January 31, 2015
Enterprise Big Data Engineering, Analytics, and Management 
 
A book edited by
Martin Atzmueller (University of Kassel, Germany)
Samia Oussena (University of West London, United Kingdom)
Thomas Roth-Berghofer (University of West London, United Kingdom)
 
To be published by IGI Global: http://bit.ly/1zuS89B <http://bit.ly/1zuS89B>
 
For release in the Advances in Business Information Systems and Analytics (ABISA) Book Series
 
Series Editor:  Madjid Tavana (La Salle University, USA)
ISSN: 2327-3275
 
Propose a chapter for this book <http://www.igi-global.com/publish/call-for-papers/submit/1546>
 
The Advances in Business Information Systems and Analytics (ABISA) Book Series aims to present diverse and timely research in the development, deployment, and management of business information systems and business analytics for continued organizational development and improved business value.
 
Introduction
With every passing day, the data deluge becomes deeper, making it challenging to analyse, comprehend, and make use of the collected data. As author John Naisbitt once said "We are drowning in information but starving for knowledge." Millions of networked sensors are being embedded in devices such as mobile phones, smart energy meters, automobiles, and industrial machines that sense, create, and communicate data. Social media sites, smart phones, and other consumer devices including PCs and laptops have also contributed to the deluge of data. This has been coined as the “Big Data” problem. Furthermore, Big Data also involves the integration of heterogeneous complex data sources, ranging from structured to unstructured data which first must be processed to extract the relevant information that needs to be integrated and aligned with the other data sets. With the variety of possible data sets, typical Big Data solutions need to cope with the volume, velocity, and variety of data. The significance of Big Data can be observed in the process of any decision-making because Big Data can be used for forecasting and predictive analytics. Secondly, Big Data can be used to build a holistic view of an enterprise, which is done by collecting large amounts of data, and then analysing them retrospectively. The majority of foundational concepts in “big data” such as data mining, artificial intelligence, and information extraction have been well-researched in academia. The objective of the book is to provide a platform for retargeting the research within these areas.
 
Objective of the Book
The book “Enterprise Big Data Engineering, Analytics, and Management” presents novel methodological as well as practical contributions. The former is provided by different methods and approaches for engineering, managing and analyzing big data. The latter is tackled by a set of case studies and applications for big data in the enterprise. With Big data as an emerging highly relevant topic, especially the focus on the enterprise and the tight coupling of engineering, management and analytics are two of the unique selling points of the book. With many of the foundational concepts in “big data” such as data mining, artificial intelligence and information extraction that have been well-researched in academia, the objective of this book is also to provide a platform for retargeting the research within these areas.
 
Target Audience
This book will serve a broad audience including academics, researchers, students and practitioners in the fields of data mining, data science, social computing, health, environmental services, government, manufacturing and networking industries. The book will capture foundational issues in big data from a research perspective. It also outlines and identifies areas that potential PhD students should concentrate on.
 
Recommended topics include, but are not limited to, the following:
Foundational issues in
Artificial Intelligence
Business Intelligence
Collective Intelligence
Data Analysis/Data Mining
Enterprise Big Data
Text Mining/Information Extraction
Current challenges
Analytics and enterprise engineering/architecture & management
Analytics in decision support systems
Big Data visualisation
Designing big data solutions
Engineering big data processes
Management of big data
Tools for analytics
Future trends
Influence of social big data in enterprise engineering
Internet of Things
Mobile Enterprise
Real-time Enterprise Big Data
Security, Privacy and Trust
 
Submission Procedure
Researchers and practitioners are invited to submit on or before January 31, 2015, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by February 28, 2015 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by April 30, 2015. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.
 
Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Enterprise Big Data Engineering, Analytics, and Management. All manuscripts are accepted based on a double-blind peer review editorial process.
 
Full chapters may be submitted to this book here: http://bit.ly/1xTrGIt <http://bit.ly/1xTrGIt>
 
All proposals should be submitted through the link at the bottom of this page.
 
Publisher
This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the “Information Science Reference” (formerly Idea Group Reference), “Medical Information Science Reference,” “Business Science Reference,” and “Engineering Science Reference” imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2016.
 
Important Dates
January 31, 2015: Proposal Submission Deadline
February 28, 2015: Notification of Acceptance
April 30, 2015: Full Chapter Submission
June 30, 2015: Review Results Returned
July 30, 2015: Revised Chapter Submission
August 15, 2015: Final Acceptance Notification
August 30, 2015: Final Chapter Submission
 
Inquiries can be forwarded to
Martin Atzmueller
atzmueller at cs.uni-kassel.de <mailto:atzmueller at cs.uni-kassel.de>
Samia Oussena
Samia.Oussena at uwl.ac.uk <mailto:samia.oussena at uwl.ac.uk>
Thomas Roth-Berghofer
Thomas.Roth-Berghofer at uwl.ac.uk <mailto:thomas.roth-berghofer at uwl.ac.uk>
 
Propose a chapter for this book <http://www.igi-global.com/publish/call-for-papers/submit/1546>
 
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-- 
Prof. Dr. Thomas Roth-Berghofer
Head of Research Cluster Digital Communities 
Professor of Artificial Intelligence

School of Computing and Technology, University of West London
8th floor, Villiers House, Ealing Broadway, London W5 2NU, UK

T: +44 208 231 2719 | thomas.roth-berghofer at uwl.ac.uk 
@throthberghofer | http://about.me/thomasrothberghofer 

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