SI Mobile Data Analytics, Mobile and Data Analytic Special ISSUE IEEE IT PRO

Call For Papers

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.

Topics

• 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
  

Important Dates

Paper submission: October 01, 2016

                       

Notification of acceptance: November 01, 2016

           

Final manuscripts due: December 15, 2016

                                             

User Name : Claude
Posted 29-08-2016 on 10:06:37 AEDT

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