MDA 2017 : SI: IEEE MOBILE DATA ANALYTICS - IT PROFESSIONAL MAGAZINE
Call For Papers
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
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.
For more information, please contact the Guest Editors:
Saeid Abolfazli, YTL Communications and Xchanging Malaysia, firstname.lastname@example.org
Maria R. Lee, Shih Chien University, Taipei, Taiwan, email@example.com
Saeed Aghabozorgi, IBM Canada, firstname.lastname@example.org