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Journal of Big Data
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  1. The promise of Big Biomedical Data may be offset by the enormous challenges in handling, analyzing, and sharing it. In this paper, we provide a framework for developing practical and reasonable data sharing po...

    Authors: Arthur W Toga and Ivo D Dinov

    Citation: Journal of Big Data 2015 2:7

    Content type: Short report

    Published on:

  3. Sentiment analysis or opinion mining is one of the major tasks of NLP (Natural Language Processing). Sentiment analysis has gain much attention in recent years. In this paper, we aim to tackle the problem of s...

    Authors: Xing Fang and Justin Zhan

    Citation: Journal of Big Data 2015 2:5

    Content type: Methodology

    Published on:

  4. The paper discusses the shift in the computing paradigm and the programming model for Big Data problems and applications. We compare DataFlow and ControlFlow programming models through their quantity and quali...

    Authors: Nemanja Trifunovic, Veljko Milutinovic, Jakob Salom and Anton Kos

    Citation: Journal of Big Data 2015 2:4

    Content type: Methodology

    Published on:

  5. Intrusion Detection has been heavily studied in both industry and academia, but cybersecurity analysts still desire much more alert accuracy and overall threat analysis in order to secure their systems within ...

    Authors: Richard Zuech, Taghi M Khoshgoftaar and Randall Wald

    Citation: Journal of Big Data 2015 2:3

    Content type: SURVEY PAPER

    Published on:

  6. The ability to detect and process anomalies for Big Data in real-time is a difficult task. The volume and velocity of the data within many systems makes it difficult for typical algorithms to scale and retain ...

    Authors: Michael A Hayes and Miriam AM Capretz

    Citation: Journal of Big Data 2015 2:2

    Content type: Research

    Published on:

  7. 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

    Content type: Research

    Published on:

  8. 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

    Content type: CASE STUDY

    Published on:

  9. 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

    Content type: Survey paper

    Published on:

  10. 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

    Content type: Short report

    Published on:

  14. 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

    Content type: Survey paper

    Published on:

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  • ISSN: 2196-1115 (electronic)