[AISWorld] CFP: Special Issue on Big Data, Service and Intelligence- Methods, Techniques and Applications in IJSSOE

[Zhaohao Sun]

CALL FOR PAPERS

Special Issue on Big Data, Service and Intelligence- Methods, Techniques
and Applications
in
International Journal of Systems and Service-Oriented Engineering


The International Journal of Systems and Service-Oriented Engineering
(IJSSOE) (ISSN 1947-3052; eISSN 1947-3060) is an official publication of
the Information Resources Management Association (www.igi-global.com/ijssoe).
IJSSOE is indexed or listed in the following at the moment: ACM Digital
Library; Bacon’s Media Directory; Cabell’s Directories; DBLP; Google
Scholar; INSPEC; JournalTOCs; MediaFinder; The Standard Periodical
Directory; Ulrich’s Periodicals Directory.
1 Rationale
Big data have become a strategic resource for organizations, industries,
enterprises, businesses, and individuals as well as national security. Big
Data are also a key enabler of exploring business insights and economics of
services. Big Data are generated from various instruments, sensors,
Internet transactions, emails, videos, click streams, social networking
services and other sources, characterized with at least 10 Bigs©: big
volume, big velocity, big variety, big value, big veracity, big market, big
service, big intelligence, big opportunity and big challenge to manage
using traditional and emerging tools and technologies. These 10 Bigs of big
data have been challenging many existing sciences, technologies, methods
and techniques in many fields, and then big data has become a hot research
area spanning the fields of computer science, information technology and
information systems to that of engineering, applied mathematics,
optimization, healthcare, business, government, and telecommunications. Big
Data applications are emerging in many disciplines, fields and industries
globally. Nations, organizations, businesses and individuals have been
enjoying the benefits of big data, and are pursuing more benefits from big
data and their technologies and applications.
For more related to Rationale see

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2 Objective and Topics

The objective of this Special Issue in International JSSOE is to present
the state of the art research and practical experiences on Big Data, Big
Service and Big Intelligence (3 Bigs out of 10 Bigs) from an
interdisciplinary viewpoint. The disciplines include computing, business,
management, applied mathematics, optimization, ICT, intelligent systems,
decision science and economics and beyond.
Topics of interest include, but are not limited to, the following:
2.1 Fundamentals of Big Data, Service and Intelligence

Fundamental concepts, models, architectures, frameworks or theories for
planning, designing, building, operating or evaluating, managing big data
driven services and big data driven smart services (big services, for
short),  big data driven intelligent services and big data service
intelligence (big intelligence, for short) are related to
* Big data computing
* Big data analytics services
* Big data science and foundations
* New computational models for big services
* Mathematical theory of big services
* ICT  fundamentals for big services
* Visualization of data, information, knowledge and wisdom
* Decision science for big services
* Statistical modelling for big services
* Optimization techniques for big services
* Research methodology for big services
* Data mining for big services
* Business models  for services
* Statistical thinking and computing thinking for big data, service and
intelligence
* Fundamentals  of big data, intelligence, and wisdom
* Intelligence computing for big services
where intelligence computing includes agent based technologies,
computational intelligence, soft computing, data warehouse, data mining and
web mining, genetic algorithms and evolutionary computing, knowledge
technology, knowledge systems and their emerging technologies.
2.2 Big Data Driven Approach to Big Services
* Fuzzy logic approach to big services
* Machine learning for intelligent big services
* Intelligent agents for big services
* AI approach to big services
* Optimization for intelligent big services
* Big data infrastructure as a big service
* Cloud services as a big service
* Mobile services as a big service
* Big data analytics as a service (BaaS)
* Social networking as a big service
* Business strategy service
* Decision analysis service
* Entrepreneurship and innovation service
* Information systems service
* Marketing service
* Strategic management service
* Services management service
* Health service management service
* Organisational decision Making
* Managerial decision making
* Service economy and policy
* Visualization techniques for big data driven services
* Service computing
where service computing includes service science, service technology,
service systems, service engineering, and service Management.
2.3 Big Data Driven Approach to Big Intelligence
Big intelligence includes
* Business intelligence
* Organisational intelligence
* Marketing intelligence
* Mobile intelligence
* Cloud intelligence
* Social networking intelligence
* Networking intelligence
* Web intelligence
* Enterprise Intelligence
* Analytics intelligence

2.4 Applications of Big Data, Service and Intelligence
* Big data, service and intelligence for developing Industry 4.0
* Big data analytics based services innovation
* Big data, service in business ecosystems
* Big data analytics and data markets
* Big data, service and intelligence for e-commerce
* Big data, service and intelligence in business decision making
* Big data, service and intelligence in healthcare
* Big data, service and intelligence in banking industry
* Big data, service and intelligence  in social networks
* Big data, service and intelligence Search and Mining
* Big data, service and intelligence for management
* Big data, service and intelligence for risk management
Cases and applications for using theories, technologies and approaches to
big data, service and intelligence in the main service domains such as:
social networking services, cloud services, financial services, legal
services, healthcare services, logistics services, educational services,
and military services taking into account demand from government,
organization, enterprise, community, individual, customer and citizen are
encouraged.
2.5 Emerging Technologies and Methods for Big Data, Service and Intelligence
* The Internet of things
* The Internet of services
* Service 4.0, Intelligence 4.0 in Industry 4.0
* Intelligent service computing
* Data intelligence computing

Notes for Intending Authors


We are seeking original, genuine, innovative, scientifically rigorous
research papers on Methods, Techniques and Applications of Big Data,
Service and Intelligence. Empirical research, case studies or theory based
qualitative and quantitative studies on Big Data, Service and Intelligence
are also welcome.

Submitted papers should not have been previously published nor be currently
under consideration for publication elsewhere.

Submitted manuscripts should be structured as technical papers and may not
exceed 8000 words. All submissions will be blindly reviewed by at least two
reviewers based on correctness, originality, technical strength,
significance, quality of the manuscript. Submissions should be directed by
email to the editors of this special issue at zhaohao.sun at gmail.com and
dickson.shiou at gmail.com or online. The tentative title and abstract
consisting of less than 150 words should be submitted to the editors at
one’s earliest convenience for constructive suggestion.


For more information, please visit the following web site.


http://wikicfp.com/cfp/servlet/event.showcfp?eventid=54627&copyownerid=49462

Important dates
* Full paper submission: July 30, 2016
* Notification of acceptance: October  15, 2016
* Revised submission: November 20, 2015
* Final acceptance notification: December 20, 2016
* Camera ready version of paper: January  20, 2017
* Publication: January – June, 2017


Guest Editors


Dr Zhaohao Sun, Ph.D.
PNG University of Technology, Lae, PNG
&
Federation University Australia, Ballarat, AUSTRALIA
Email:  zhaohao.sun at gmail.com; zsun at dbs.unitech.ac.pg

Dr Dickson Chiu, PhD
 University of Hong Kong, Hong Kong

e-mail: dickson.shiou at gmail.com; dicksonchiu at ieee.org