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  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. Research

    Improved sqrt-cosine similarity measurement

    Text similarity measurement aims to find the commonality existing among text documents, which is fundamental to most information extraction, information retrieval, and text mining problems. Cosine similarity b...

    Sahar Sohangir and Dingding Wang

    Journal of Big Data 2017 4:25

    Published on: 25 July 2017

  13. Methodology

    Large-scale distributed L-BFGS

    With the increasing demand for examining and extracting patterns from massive amounts of data, it is critical to be able to train large models to fulfill the needs that recent advances in the machine learning ...

    Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Flavio Villanustre and John Holt

    Journal of Big Data 2017 4:22

    Published on: 17 July 2017

  14. Research

    Host managed contention avoidance storage solutions for Big Data

    The performance gap between compute and storage is fairly considerable. This results in a mismatch between the application needs from storage and what storage can deliver. The full potential of storage devices...

    Pratik Mishra and Arun K. Somani

    Journal of Big Data 2017 4:18

    Published on: 19 June 2017

  15. Research

    DERIV: distributed brand perception tracking framework

    Determining user’s perception of a brand in short periods of time has become crucial for business. Distilling brand perception directly from people’s comments in social media has promise. Current techniques fo...

    Manu Shukla, Raimundo Dos Santos, Andrew Fong and Chang-Tien Lu

    Journal of Big Data 2017 4:17

    Published on: 17 June 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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