[AISWorld] Final CFP: Special Issue on Big Data Analytics and Intelligence in JNMNC

Zhaohao Sun zhaohao.sun at gmail.com
Mon May 9 23:21:34 EDT 2016


CALL FOR PAPERS

Special Issue on Big Data Analytics and Intelligence in Journal of New
Mathematics & Natural Computation

The Journal of New Mathematics & Natural Computation (NMNC) is published by
WSPC (http://www.worldscientific.com/worldscinet/nmnc) with ISSN:1793-0057
[print] and ISSN:1793-7027 [electronic]. This journal is covered in
Cabell's Computer Science directory, and is abstracted and indexed in
Scopus (http://www.scopus.com/), Mathematical Reviews, and Zentralblatt
MATH. It is also listed in ERA Australia.

Objective and Topics
================
The objective of this Special Issue in Journal of New Mathematics and
Natural Computing is to disseminate cutting-edge research that provides
insights into the challenges, opportunities, strategies, theories,
technologies and systems of Big Data, Big Data Analytics, and Big Data
Intelligence from a viewpoint of mathematics, graph theory, optimization,
ICT, intelligent systems, and decision science and beyond.

Topics of Interest
=============

Topics of interest for this special issue include, but are not limited to,
the following:

1. Fundamentals of Big Data and Big Data Analytics and Intelligence

* Big Data Science
* Big Data Intelligence
* Decision science for Big Data Analytics
* Big Data Computing and Foundations
* New Computational Models for Big Data
* Mathematical fundamentals of Big Data Analytics
* Fuzzy Logic approach to Big Data Analytics
* Graph theory for Big Data Analytics
* ICT fundamentals for Big Data Analytics
* Visualization techniques for Big Data Analytics
* Statistical modelling for Big Data Analytics
* Machine learning for Big Data Analytics
* Optimization techniques for Big Data Analytics
* Data mining for Big Data Analytics
* Business models for Big Data Analytics
* Real-time algorithms for Big Data Analytics
* Computing thinking for Big Data Analytics
2. Applications of Big Data Analytics and Intelligence
* Big Data Analytics and Intelligence with applications
* Big Data Analytics based services innovation
* Big Data Analytics in business ecosystems
* Big Data Analytics with public and open data
* Big Data Analytics and data markets
* Big Data Analytics for e-commerce
* Big Data Analytics in business decision making
* Big Data Analytics in healthcare
* Big Data Analytics in banking industry
* Big Data Analytics in social networking services
* Visualization Analytics for Big Data
* Security and privacy issues in Big Data Analytics.
* Big Data processing and management
* Big Data analytics for risk management

3. Challenges on Big Data Analytics and Intelligence
* Challenges for Big Data Intelligence
* Challenges for Big Data Analytics research
* Challenges for Big Data Analytics applications
* Challenges for Big Data Analytics tools

Notes for Intending Authors
=====================

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

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

Author guidelines can be found at:
http://www.worldscinet.com/style_files/nmnc/202-readme_2e.shtml. All
submissions will be refereed by at least three anonymous reviewers.

The abstract of the tentative topic consisting 150 words should be
submitted to zsun at dbs.unitech.ac.pg, zhaohao.sun at gmail.com and
ppw at ee.duke.edu for review at your earliest convience

The submissions of the full paper should be directed by email to
zsun at dbs.unitech.ac.pg, zhaohao.sun at gmail.com and ppw at ee.duke.edu, based on
the following arrangement:
* Full paper submission: June 30, 2016
* Notification of acceptance: August 1, 2016
* Revised submission: August 20, 2016
* Final acceptance notification: September 10, 2016
* Camera ready version of paper: October 1, 2016

* Publication: October– December, 2016


Guest Editors
===========

Associate Prof. Dr Zhaohao Sun, Ph.D.
Department of Business Studies
PNG University of Technology, Lae, PNG
Email: zsun at dbs.unitech.ac.pg, or zhaohao.sun at gmail.com

Prof. Dr Paul P.Wang, Ph.D.
Department of Electrical & Computer Engineering
Pratt School of Engineering
Duke University, USA
e-mail: ppw at ee.duke.edu



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