[AISWorld] Mobile Data Analytics, Call for Papers -- IEEE IT Professional; Submission deadline: 1 October 2016

[San Murugesan]

CALL FOR PAPERS 


IEEE Computer Society


IT Professional

 


http://www.computer.org/itpro


Mobile Data Analytics


Submission deadline: 1 October 2016
Publication: May/June 2017

Mobile data analytics (MDA) is an area of growing relevance and interest
among IT professionals, entrepreneurs, and academics. MDA deals with data
analytics, particularly big data analytics, on resource-constrained mobile
devices. The proliferation of mobile commerce, growth in mobile
advertisements, implicit and explicit massive application-level data
collection by mobile app vendors, and data generated by social networks
necessitate data correlation and the discovery of meaningful patterns and
helpful insights from collected data. Moreover, the growth of the Internet
of Things that connects various devices and objects and gathers a variety of
data, and the widespread use of mobile and wireless devices, contribute
heavily to the evolution of mobile data. MDA offers ample opportunities to
enhance mobile user experience, generate new insight and foresight, and
increase revenue.

However, MDA demands heavy processing and large memory and storage
capabilities normally unavailable in mobile devices, and presents several
challenges: how to store and retrieve big data from mobile devices, how to
build lightweight solutions that generate insight from massive structured
and unstructured data, and how to visualize these data on a small screen.

This issue of IT Professional seeks to present readers with mobile data
analytics trends, issues, novel solutions, and applications. We are
soliciting articles from industry, business, academia, and government on
various topics, including the following:

*	Software and tools for mobile and data analytics
*	Cloud-based mobile data analytics
*	Mobile big data management and analytics
*	Enterprise mobility analytics
*	Emerging/novel mobile analytics models
*	Mobile data mining and machine learning
*	Mobile social community intelligence
*	Mobile data analytics privacy and legal issues
*	Visualization of mobile data analytics
*	Mobile and data analytics case studies


Submissions


Feature articles should be no longer than 4,200 words and have no more than
20 references (with tables and figures counting as 300 words each).
Illustrations are welcome. Articles should be novel, have a practical
orientation, and be written in a style accessible to practitioners. For
author guidelines, including sample articles, see
www.computer.org/web/peer-review/magazines.

Submit your article at https://mc.manuscriptcentral.com/itpro-cs.


Questions?


For more information, please contact the Guest Editors:

*	Saeid Abolfazli, YTL Communications and Xchanging Malaysia,
abolfazli.s at gmail.com
*	Maria R. Lee, Shih Chien University, Taipei, Taiwan,
maria.lee at g2.usc.edu.tw
*	Saeed Aghabozorgi, IBM Canada, saeed at ca.ibm.com

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Professor San Murugesan 

Director, BRITE Professional Services

Editor-in-Chief, IEEE  <http://www.computer.org/itpro> IT Professional

Editor, IEEE  <http://www.computer.org/computer> Computer and Cloud Cover
column

Adjunct Professor, Western Sydney University

Sydney, Australia

 

Website:  <http://tinyurl.com/sanbio> http://tinyurl.com/sanbio

Email:  <mailto:san1 at internode.net> san1 at internode.net