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  1. Survey Paper

    Big healthcare data: preserving security and privacy

    Big data has fundamentally changed the way organizations manage, analyze and leverage data in any industry. One of the most promising fields where big data can be applied to make a change is healthcare. Big he...

    Karim Abouelmehdi, Abderrahim Beni-Hessane and Hayat Khaloufi

    Journal of Big Data 2018 5:1

    Published on: 9 January 2018

  2. Short report

    Some dimension reduction strategies for the analysis of survey data

    In the era of big data, researchers interested in developing statistical models are challenged with how to achieve parsimony. Usually, some sort of dimension reduction strategy is employed. Classic strategies are...

    Jiaying Weng and Derek S. Young

    Journal of Big Data 2017 4:43

    Published on: 8 December 2017

  3. Research

    Scaling associative classification for very large datasets

    Supervised learning algorithms are nowadays successfully scaling up to datasets that are very large in volume, leveraging the potential of in-memory cluster-computing Big Data frameworks. Still, massive datase...

    Luca Venturini, Elena Baralis and Paolo Garza

    Journal of Big Data 2017 4:44

    Published on: 8 December 2017

  4. Research

    HCudaBLAST: an implementation of BLAST on Hadoop and Cuda

    The world of DNA sequencing has not only been a difficult field since it was first worked upon, but it is also growing at an exponential rate. The amount of data involved in DNA searching is huge, thereby norm...

    Nilay Khare, Alind Khare and Farhan Khan

    Journal of Big Data 2017 4:41

    Published on: 16 November 2017

  5. Methodology

    Understanding deep learning via backtracking and deconvolution

    Convolutional neural networks are widely adopted for solving problems in image classification. In this work, we aim to gain a better understanding of deep learning through exploring the miss-classified cases i...

    Xing Fang

    Journal of Big Data 2017 4:40

    Published on: 13 November 2017

  6. Research

    An algorithm for identification of natural disaster affected area

    An important source of information presently is social media, which reports any major event including natural disasters. Social media also includes conversational data. As a result, the volume of data on socia...

    M. V. Sangameswar, M. Nagabhushana Rao and S. Satyanarayana

    Journal of Big Data 2017 4:39

    Published on: 7 November 2017

  7. Methodology

    Mining and visualising contradictory data

    Big datasets are often stored in flat files and can contain contradictory data. Contradictory data undermines the soundness of the information from a noisy dataset. Traditional tools such as pie chart and bar ...

    Honour Chika Nwagwu, George Okereke and Chukwuemeka Nwobodo

    Journal of Big Data 2017 4:36

    Published on: 30 October 2017

  8. Research

    Learning topic description from clustering of trusted user roles and event models characterizing distributed provenance networks: a reinforcement learning approach

    This paper proposes a reinforcement learning based message transfer model for transferring news report messages through a selected path in a trusted provenance network with the objective of maximizing the rewa...

    Sanjoy Kumar Mukherjee and Sivaji Bandyopadhyay

    Journal of Big Data 2017 4:35

    Published on: 26 October 2017

  9. Research

    Using deep learning for short text understanding

    Classifying short texts to one category or clustering semantically related texts is challenging, and the importance of both is growing due to the rise of microblogging platforms, digital news feeds, and the li...

    Justin Zhan and Binay Dahal

    Journal of Big Data 2017 4:34

    Published on: 23 October 2017

  10. Research

    Adaptive memory-based single distribution resampling for particle filter

    The restrictions that are related to using single distribution resampling for some specific computing devices’ memory gives developers several difficulties as a result of the increased effort and time needed ...

    Wan Mohd Yaakob Wan Bejuri, Mohd Murtadha Mohamad, Raja Zahilah Raja Mohd Radzi, Mazleena Salleh and Ahmad Fadhil Yusof

    Journal of Big Data 2017 4:33

    Published on: 18 October 2017

  11. Research

    A novel hybrid model based on Hodrick–Prescott filter and support vector regression algorithm for optimizing stock market price prediction

    Predicting stock market price is considered as a challenging task of financial time series analysis, which is of great interest to stock investors, stock traders and applied researchers. Many machine learning ...

    Meryem Ouahilal, Mohammed El Mohajir, Mohamed Chahhou and Badr Eddine El Mohajir

    Journal of Big Data 2017 4:31

    Published on: 4 October 2017

  12. Survey paper

    A bibliometric approach to tracking big data research trends

    The explosive growing number of data from mobile devices, social media, Internet of Things and other applications has highlighted the emergence of big data. This paper aims to determine the worldwide research ...

    Ali Kalantari, Amirrudin Kamsin, Halim Shukri Kamaruddin, Nader Ale Ebrahim, Abdullah Gani, Ali Ebrahimi and Shahaboddin Shamshirband

    Journal of Big Data 2017 4:30

    Published on: 29 September 2017

  13. Survey paper

    A survey on heterogeneous transfer learning

    Transfer learning has been demonstrated to be effective for many real-world applications as it exploits knowledge present in labeled training data from a source domain to enhance a model’s performance in a tar...

    Oscar Day and Taghi M. Khoshgoftaar

    Journal of Big Data 2017 4:29

    Published on: 26 September 2017

  14. Survey paper

    Survey on clinical prediction models for diabetes prediction

    Predictive analytics has gained a lot of reputation in the emerging technology Big data. Predictive analytics is an advanced form of analytics. Predictive analytics goes beyond data mining. A huge amount of me...

    N. Jayanthi, B. Vijaya Babu and N. Sambasiva Rao

    Journal of Big Data 2017 4:26

    Published on: 23 August 2017

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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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