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  1. Big Data Analytics and Deep Learning are two high-focus of data science. Big Data has become important as many organizations both public and private have been collecting massive amounts of domain-specific info...

    Authors: Maryam M Najafabadi, Flavio Villanustre, Taghi M Khoshgoftaar, Naeem Seliya, Randall Wald and Edin Muharemagic
    Citation: Journal of Big Data 2015 2:1
  2. Molecular Simulation (MS) is a powerful tool for studying physical/chemical features of large systems and has seen applications in many scientific and engineering domains. During the simulation process, the ex...

    Authors: Anand Kumar, Vladimir Grupcev, Meryem Berrada, Joseph C Fogarty, Yi-Cheng Tu, Xingquan Zhu, Sagar A Pandit and Yuni Xia
    Citation: Journal of Big Data 2014 2:9
  3. The primary purpose of this paper is to provide an in-depth analysis of different platforms available for performing big data analytics. This paper surveys different hardware platforms available for big data a...

    Authors: Dilpreet Singh and Chandan K Reddy
    Citation: Journal of Big Data 2014 2:8
  4. I describe a research agenda for data science based on a decade of research and operational work in data-intensive systems at NASA, the University of Southern California, and in the context of open source work...

    Authors: Chris A Mattmann
    Citation: Journal of Big Data 2014 1:6
  5. The amount of data produced within Health Informatics has grown to be quite vast, and analysis of this Big Data grants potentially limitless possibilities for knowledge to be gained. In addition, this informat...

    Authors: Matthew Herland, Taghi M Khoshgoftaar and Randall Wald
    Citation: Journal Of Big Data 2014 1:2

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