Big Data and Information Analytics (BDIA)

What's the big deal about big data?

Pages: 31 - 79, Volume 1, Issue 1, January 2016      doi:10.3934/bdia.2016.1.31

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Nick Cercone, F'IEEE - Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, Ontario, Canada M3J 1P3, Canada (email)

Abstract: This position paper is based on a major cooperative research and development proposal to form a Big Data Research, Analytics, and Information Network (BRAIN). Challenges presented by Big Data research are introduced and several projects are sketched in four important Big Data research theme areas, the solutions of which will further decision making in these areas of investigation. The four themes are large-scale data analytics and cloud computing, computational biology, health informatics, and interactive content analytics. These theme areas are certainly not inclusive, rather indicative of the wide variety to which Big Data now occupies decision analytics. The importance of training highly qualified personnel (HQP), knowledge mobilization and novelty are discussed.

Keywords:  Big data, large-scale data analytics, computational biology, health informatics, interactive content analytics, visualization.
Mathematics Subject Classification:  68-04, 68U01, 68U10, 68U15, 68U20, 68U35, 62M20, 67P10, 67P20, 67P25, 62-07, 62-09, 62C10, 47-02, 47-04, 47N30.

Received: July 2015;      Revised: August 2015;      Available Online: September 2015.