Announcing a Special Section in IEEE Access:

Big Data Services and Computational Intelligence for Industrial Systems

http://www.ieee.org/publications_standards/publications/ieee_access/big_data_services.pdf 

 

Submission Deadline: October 10, 2015 

 

IEEE Access invites manuscript submissions in the area of Big Data Services and Computational 

Intelligence for Industrial Systems 

The pervasive nature of big data technologies as witnessed in industry services and everyday life has 

given rise to an emergent, data-focused economy stemming from many aspects of industrial applications. 

The richness and vastness of these services are creating unprecedented research opportunities in a 

number of industrial fields including public health, urban studies, economics, finance, social science, and 

geography. We are moving towards the era of Big Data Services, which are deployed in a multi-scale 

complex distributed architecture. These services can be formed using high-level computational 

intelligence based on emerging analytical techniques such as big data analytics and web analytics. In this 

context, computational intelligence employs software tools from advanced analytics disciplines such as 

data mining, predictive analytics, and machine learning. At the same time, it becomes increasingly 

important to anticipate technical and practical challenges and to identify best practices learned through 

experience. 

The goal of this Special Session in IEEE Access is to present both novel solutions to challenging 

technical issues as well as compelling industrial systems. This Special Session will share research works 

and related practical experiences to benefit the reader, and will provide clear proof that big data services 

are playing an ever-increasing important and critical role in supporting computational intelligence for 

industry systems. It has also established itself as a new cross-discipline research topic in computer 

science and industry engineering. Topics of interest include, but are not limited to: 

• Novel theoretical and computational models for big data services 

• Requirement engineering of big data services for computational intelligence 

• Interoperability of heterogeneous big data services for computational intelligence 

• Big data analysis as a service 

• Mobile analysis as a service 

• Industrial wireless sensor networks as a service 

• Multi-tenant Business process as a service 

• Variability and configuration in large process repositories 

• Big data services processing in industrial networks 

• On-demand big data services selection, composition, and provisioning for computational 

intelligence 

• Context-aware big data service management and processing for computational intelligence 

• Scalable and efficient architectures and algorithms of big data services for computational 

intelligence 

• Security and privacy issues on big data services 

• Business and societal aspects of big data services for computational intelligence 

Simulation and experiment of big data services for computational intelligence

• Industrial application of big data services for computational intelligence

Associate Editor: ZhangBing Zhou, China University of Geosciences (Beijing), China, & TELECOM 

SudParis, France 

 

Guest Editors: 

1) Walid Gaaloul, TELECOM SudParis, France 

2) Patrick Hung, University of Ontario Institute of Technology, Canada 

3) Lei Shu, Guangdong University of Petrochemical Technology, China 

4) Wei Tan, Thomas J. Watson Research Center, USA 

 

IEEE Access Editor in Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland 

 

Paper submission: Contact Associate Editor and submit manuscript to: 

http://mc.manuscriptcentral.com/ieee-access 

 

For information regarding IEEE Access including its publication policy and fees, please visit the website 

http://www.ieee.org/ieee-access 

 

For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access 

(Phone: (732) 562-6036, ieeeaccess@ieee.org)