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  1. Content type: Survey paper

    Online reviews are often the primary factor in a customer’s decision to purchase a product or service, and are a valuable source of information that can be used to determine public opinion on these products or...

    Authors: Michael Crawford, Taghi M. Khoshgoftaar, Joseph D. Prusa, Aaron N. Richter and Hamzah Al Najada

    Citation: Journal of Big Data 2015 2:23

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  2. Content type: Survey paper

    This paper provides a multi-disciplinary overview of the research issues and achievements in the field of Big Data and its visualization techniques and tools. The main aim is to summarize challenges in visuali...

    Authors: Ekaterina Olshannikova, Aleksandr Ometov, Yevgeni Koucheryavy and Thomas Olsson

    Citation: Journal of Big Data 2015 2:22

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  3. Content type: Survey paper

    The age of big data is now coming. But the traditional data analytics may not be able to handle such large quantities of data. The question that arises now is, how to develop a high performance platform to effic...

    Authors: Chun-Wei Tsai, Chin-Feng Lai, Han-Chieh Chao and Athanasios V. Vasilakos

    Citation: Journal of Big Data 2015 2:21

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  4. Content type: Survey paper

    The manufacturing industry is currently in the midst of a data-driven revolution, which promises to transform traditional manufacturing facilities in to highly optimised smart manufacturing facilities. These s...

    Authors: Peter O’Donovan, Kevin Leahy, Ken Bruton and Dominic T. J. O’Sullivan

    Citation: Journal of Big Data 2015 2:20

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  5. Content type: Research

    For over forty years, relational databases have been the leading model for data storage, retrieval and management. However, due to increasing needs for scalability and performance, alternative systems have eme...

    Authors: João Ricardo Lourenço, Bruno Cabral, Paulo Carreiro, Marco Vieira and Jorge Bernardino

    Citation: Journal of Big Data 2015 2:18

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  6. Content type: Methodology

    W e h a v e e n t e r e d t h e b i g data age. Knowledge extraction from massive data is becoming more and more urgent. MapReduce provides a feasible framework for programming machine learning algorithms in M...

    Authors: Xuan Liu, Xiaoguang Wang, Stan Matwin and Nathalie Japkowicz

    Citation: Journal of Big Data 2015 2:14

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  7. Content type: Research

    Intuitive formulation of informative and computationally-efficient queries on big and complex datasets present a number of challenges. As data collection is increasingly streamlined and ubiquitous, data explor...

    Authors: Syed S Husain, Alexandr Kalinin, Anh Truong and Ivo D Dinov

    Citation: Journal of Big Data 2015 2:13

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  8. Content type: Research

    Community structure is thought to be one of the main organizing principles in most complex networks. Big data and complex networks represent an area which researchers are analyzing worldwide. Of special intere...

    Authors: Pravin Chopade and Justin Zhan

    Citation: Journal of Big Data 2015 2:11

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    The Erratum to this article has been published in Journal of Big Data 2015 2:19

  9. Content type: Research

    Automated workflows are the key concept of big data pipelines in science, engineering and enterprise applications. The performance analysis of automated workflows is an important topic of the continuous improv...

    Authors: Andreas Kempa-Liehr

    Citation: Journal of Big Data 2015 2:10

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  10. Content type: Short report

    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

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  11. Content type: Methodology

    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

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  12. Content type: Methodology

    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

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  13. Content type: SURVEY PAPER

    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

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  14. Content type: Research

    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

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  15. Content type: Research

    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

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  16. Content type: CASE STUDY

    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

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  17. Content type: Survey paper

    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

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  18. Content type: Short report

    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

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  19. Content type: Survey paper

    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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Journal of Big Data Accepted into Scopus!

We are pleased to announce that the Journal of Big Data has been accepted into Scopus, the world's largest abstract and citation database of peer-reviewed literature. Read more about the journal's abstract and indexing on the 'About' page.

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