[AISWorld] 2ND CALL FOR BOOK CHAPTERS: BOOK: Handbook of Research on Intelligent Analytics with Multi-Industry Applications

[Zhaohao Sun]

BOOK:  Handbook of Research on Intelligent Analytics with Multi-Industry
Applications
EDITED BY PROF. DR. ZHAOHAO SUN
TO BE PUBLISHED BY IGI Global, USA
https://www.igi-global.com/publish/call-for-papers/call-details/4539
or
http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=96711
or
https://www.researchgate.net/project/Intelligent-Analytics-with-Applications
Introduction
Intelligent analytics is an emerging scientific paradigm that integrates
big data/information/knowledge/wisdom, analytics and artificial
intelligence (AI) to provide smart services to our work, business, life,
industry and society. From a fundamental perspective, intelligent analytics
at least includes intelligent big data analytics, intelligent big
information analytics, intelligent big knowledge analytics, intelligent big
wisdom analytics. Intelligent analytics has been revolutionizing our work,
life, business, management, organization and industry. It becomes
disruptive technology for healthcare, web services, service computing,
cloud computing, 5G development, blockchain and social networking
computing. However, many fundamental, technological and managerial issues
in developing and applying intelligent analytics with multi-industry
applications remain open. For example, what is the foundation of
intelligent analytics? what are the elements of intelligent analytics? What
are the real big characteristics of intelligent analytics? How can apply
intelligent analytics to improve healthcare, mobile commerce, web services,
cloud services, blockchain, 5G development, digital transformation and
industries? What is the effect of intelligent analytics on business,
management, the Internet of things, cloud computing, blockchain, service
and society?  This book will address these issues by exploring the
cutting-edge theory, technologies and methodologies of intelligent
analytics with multi-industry applications and emphasize integration of AI,
business intelligence, big data/information/knowledge/wisdom, and analytics
from a perspective of computing, service and management. This book also
provides applications of the proposed theory, technologies and
methodologies of intelligent analytics to e-SMACS (electronic, social,
mobile, analytics, cloud and service) commerce and services, healthcare,
the Internet of things, sharing economy, cloud computing, blockchain, and
Industry 4.0 in the real world.
  This book titled “Intelligent Analytics with Multi-industry Applications”
is the first book to reveal the cutting-edge theory, technologies,
methodologies of intelligent analytics with applications. This is also the
first book demonstrating that intelligent analytics is an important enabler
for developing cloud computing, 5G, blockchains, digital transformation,
business, management, governance and services in multi-industry
applications. The proposed approaches will facilitate research, development
and applications of intelligent analytics, big
data/information/knowledge/wisdom analytics, data science, digital
transformation, e-business and web service, service computing, cloud
computing and social computing.
Aims, Scope and Target Audience
This book’s primary aim is to convey the foundations, technologies,
thoughts, and methods of intelligent analytics with multi-industry
applications to scientists, engineers, educators and university students,
business, service and management professionals, policy makers and decision
makers and others who have interest in big data, big information, big
knowledge and big intelligence and wisdom, intelligent analytics, AI, cloud
computing, the Internet of things (IoT), digital transformation, SMACS
intelligence and computing, commerce and service as well as data science,
information science, and knowledge science.
  Primary audiences for this book are undergraduate, postgraduate students
and variety of professionals in the fields of big data, data science,
information science and technology, knowledge technology and engineering,
intelligence science, analytics, AI, computing, commerce, business,
services, management and government. The variety of readers in the fields
of government, consulting, marketing, business and trade as well as the
readers from all the social strata can also be benefited from this book to
improve understanding of the cutting-edge theory, technologies,
methodologies and applications of intelligent analytics with applications.
  Papers as book chapters of all theoretical and technological approaches,
and applications of intelligent analytics are welcome.
  Submissions that cross multiple disciplines such as management, service,
business, artificial intelligence, intelligent systems, data science,
optimization, statistics, information systems, decision sciences, and
industries to develop theory and provide technologies and applications that
could move theory and practice forward in intelligent analytics, are
especially encouraged.

  Topics

Topics of contributions to this book include four parts: foundations,
technologies, applications and emerging technologies and applications of
intelligent analytics as follows.

 Part I.  Foundations of intelligent analytics

Topics: fundamental concepts, models/architectures, frameworks/schemes or
foundations for developing, operating, evaluating, managing intelligent
analytics. The following topics might also include, but not limited to.
• Intelligent analytics as a Science and Technology (IAaaST)
• Big Data science
• Big Data intelligence
• Intelligent Analytics for big data, information, knowledge, intelligence
and wisdom
• Intelligent analytics in business ecosystems
• Decision science for intelligent analytics
• Computing and foundations of intelligent analytics
• New computational models for Big Data
• Mathematical fundamentals of intelligent Big Data analytics
• Fuzzy logic approach to intelligent analytics
• Graph theory for intelligent analytics
• ICT fundamentals for analytics
• Intelligent visualization techniques for analytics
• Statistical modelling for intelligent analytics
• Machine learning for intelligent analytics
• Optimization techniques for intelligent analytics
• Data mining for intelligent analytics
• Business models for intelligent analytics
• Real-time algorithms for intelligent analytics
• Computing thinking for intelligent analytics

 Part II. Technologies for intelligent analytics

Topics: Technologies for developing intelligent analytics might also
include the following topics, but not limited to.
* Intelligent Analytics as a System (IAaaSy)
* Intelligent Analytics as a Service (IAaaSe)
* Intelligent Analytics as a Management (IAaaM)
* Intelligent Analytics as a Business (IAaaB)
* Rule-based systems,
* Machine learning,
* Multi-agent systems,
* Neural networks systems,
* Fuzzy logic,
* Cased-based reasoning,
* Genetic algorithms,
* Data mining algorithms,
* Intelligent agents,
* Intelligent user interfaces
* Web technologies,
* Intelligent big data/information/knowledge technologies,
* Intelligent service technologies,
* Social networking technologies,
* Intelligent decision technologies,
* Intelligent management technologies and business technologies.
* Machine-to-machine communication

Part III. Multi-industry Applications of intelligent analytics
Topics: cases for using foundations and technologies in Part I, II in
multi-industry applications and various domains such as digital
transformation, blockchain, 5G, SMACS computing, commerce and services,
financial services, legal services, healthcare services, educational
services, and military services taking into account intelligent diagnostic,
descriptive, predictive and prescriptive analytics. The following topics
might also include, but not limited to.
* Intelligent Analytics as an application
* Intelligent analytics with applications
* Intelligent analytics-based innovation and entrepreneurship
* Intelligent analytics in business ecosystems
* Intelligent analytics with public and open data
* Intelligent analytics and markets
* Intelligent analytics for e-commerce
* Intelligent analytics for cloud computing
* Intelligent analytics for IoT
* Intelligent analytics for blockchain
* Intelligent analytics for 5G applications
* Intelligent analytics in business decision making
* Intelligent analytics in healthcare
* Marketing Analytics
* Intelligent analytics in banking industry
* Intelligent analytics in social networking services
* Intelligent analytics for Big Data, information, knowledge and
intelligence
* Cybersecurity and privacy issues in Intelligent analytics.
* Intelligent analytics for management
* Intelligent analytics for risk management
* Organization analytics
Part IV. Emerging technologies and applications for intelligent analytics
Topics:  Emerging technologies, methodologies, and applications for
intelligent analytics. The following topics might also include, but not
limited to
* Emergent AI-based technologies
* Emergent intelligent analytics technologies
* Challenges for intelligent big data analytics
* Challenges for intelligent big information analytics
* Challenges for intelligent big knowledge analytics
* Challenges for intelligent analytics research
* Challenges for intelligent analytics applications
* Challenges for intelligent analytics tools

Submission Procedure
Please submit a brief summary (abstract) consisting of title and round
150-200 words for the proposed chapter clearly identifying the main
objectives of your contribution online by clicking “propose a chapter” at
https://www.igi-global.com/publish/call-for-papers/call-details/4539 or to
the editor at zhaohao.sun at gmail.com by March 30, 2020. Authors of the
accepted proposals will be notified and provided with detailed guidelines.
Full chapters are to be submitted by May 30, 2020.

Submission Format and Evaluation
This book will be developed using the eEditorial Discovery™ online
submission manager.  Therefore, all manuscripts of book chapter must be
submitted online using
https://www.igi-global.com/submission/submit-chapter/?projectid=8480e8ad-d61c-4359-b13a-c803f100a27e

  Every book chapter submission should consist of 8,000-12,000 words, and
be structured into sections including Abstract, Introduction, background
(or related work), main sections, future research directions, conclusion,
references. Every book chapter must be submitted in Microsoft® Word, and be
typewritten in English in APA style based on “manage source” and “insert
citation” function.
  Every book chapter submission is original. Only ORIGINAL articles will be
accepted for publication by IGI-Global. Upon acceptance of your article,
you will be required to sign a warranty that your article is original and
has NOT been submitted for publication or published elsewhere.
  All chapter submissions undergo a double-blind peer-review using the
eEditorial Discovery™ online submission manager. Conditioned chapters will
have an additional opportunity for being improved and evaluated. In the
second evaluation, a definitive editorial decision among: accepted or
rejected will be reported. All of the accepted chapters must be submitted
according to the Editorial publishing format rules timely. Instructions for
authors can be downloaded at:
  http://www.igi-global.com/Files/AuthorEditor/guidelinessubmission.pdf.
  The final chapters are copy edited/proofed by the authors prior to
submission, following the IGI Global chapter formatting and submission
guidelines.
Important Dates
* March 30, 2020: Proposal Submission Deadline
* April 10, 2020: Notification of Acceptance
* May 10, 2020: Full Chapter Submission
* July 8, 2020: Review Results Returned
* August 19, 2020: Final Acceptance Notification
* September 2, 2020: Final Chapter Submission.
* September – November 2020:  estimated publishing period.
Editor Information

 Prof. Dr. Zhaohao Sun, Ph.D.
  Research Centre of Big Data Analytics and Intelligent Systems (BAIS)
  Department of Business Studies
  PNG University of Technology
  Morobe, PNG
  &
  Federation University Australia
  zhaohao.sun at gmail.com; z.sun at federation.edu.au