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  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. Research

    Identification of top-K nodes in large networks using Katz centrality

    Network theory concepts form the core of algorithms that are designed to uncover valuable insights from various datasets. Especially, network centrality measures such as Eigenvector centrality, Katz centrality...

    Justin Zhan, Sweta Gurung and Sai Phani Krishna Parsa

    Journal of Big Data 2017 4:16

    Published on: 30 May 2017

  12. Research

    Botnet detection using graph-based feature clustering

    Detecting botnets in a network is crucial because bots impact numerous areas such as cyber security, finance, health care, law enforcement, and more. Botnets are becoming more sophisticated and dangerous day-b...

    Sudipta Chowdhury, Mojtaba Khanzadeh, Ravi Akula, Fangyan Zhang, Song Zhang, Hugh Medal, Mohammad Marufuzzaman and Linkan Bian

    Journal of Big Data 2017 4:14

    Published on: 12 May 2017

  13. Survey paper

    Big Data management in smart grid: concepts, requirements and implementation

    A smart grid is an intelligent electricity grid that optimizes the generation, distribution and consumption of electricity through the introduction of Information and Communication Technologies on the electric...

    Houda Daki, Asmaa El Hannani, Abdelhak Aqqal, Abdelfattah Haidine and Aziz Dahbi

    Journal of Big Data 2017 4:13

    Published on: 28 April 2017

  14. Survey paper

    Defining the execution semantics of stream processing engines

    The ability to process large volumes of data on the fly, as soon as they become available, is a fundamental requirement in today’s information systems. Modern distributed stream processing engines (SPEs) addre...

    Lorenzo Affetti, Riccardo Tommasini, Alessandro Margara, Gianpaolo Cugola and Emanuele Della Valle

    Journal of Big Data 2017 4:12

    Published on: 26 April 2017

  15. Research

    Toward building RDB to HBase conversion rules

    Cloud data stores that can handle very large amounts of data, such as Apache HBase, have accelerated the use of non-relational databases (coined as NoSQL databases) as a way of addressing RDB database limitati...

    R. Ouanouki, A. April, A. Abran, A. Gomez and J. M. Desharnais

    Journal of Big Data 2017 4:10

    Published on: 4 April 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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