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  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. Research

    Modeling temporal aspects of sensor data for MongoDB NoSQL database

    Proliferation of structural, semi-structural and no-structural data, has challenged the scalability, flexibility and processability of the traditional relational database management systems (RDBMS). The next g...

    Nadeem Qaisar Mehmood, Rosario Culmone and Leonardo Mostarda

    Journal of Big Data 2017 4:8

    Published on: 31 March 2017

  11. Survey paper

    The design of an adaptive column-store system

    A fully self-managed DBMS which does not require administrator intervention is the ultimate goal of database developers. This system should automate deploying, configuration, administration, monitoring, and tu...

    George Chernishev

    Journal of Big Data 2017 4:5

    Published on: 23 March 2017

  12. Short report

    Quality management architecture for social media data

    Social media data has provided various insights into the behaviour of consumers and businesses. However, extracted data may be erroneous, or could have originated from a malicious source. Thus, quality of soci...

    Pekka Pääkkönen and Juha Jokitulppo

    Journal of Big Data 2017 4:6

    Published on: 23 March 2017

  13. Survey paper

    Conceptualizing Big Social Data

    The popularity of social media and computer-mediated communication has resulted in high-volume and highly semantic data about digital social interactions. This constantly accumulating data has been termed as B...

    Ekaterina Olshannikova, Thomas Olsson, Jukka Huhtamäki and Hannu Kärkkäinen

    Journal of Big Data 2017 4:3

    Published on: 25 January 2017

  14. Research

    Vaccination allocation in large dynamic networks

    Network infections that are already in progress cause challenges to those officers trying to preserve those nodes not yet infected. Static solutions can take advantage of global knowledge of the network to pro...

    Justin Zhan, Timothy Rafalski, Gennady Stashkevich and Edward Verenich

    Journal of Big Data 2017 4:2

    Published on: 13 January 2017

  15. Research

    A new method of large-scale short-term forecasting of agricultural commodity prices: illustrated by the case of agricultural markets in Beijing

    In order to forecast prices of arbitrary agricultural commodity in different wholesale markets in one city, this paper proposes a mixed model, which combines ARIMA model and PLS regression method based on time...

    Haoyang Wu, Huaili Wu, Minfeng Zhu, Weifeng Chen and Wei Chen

    Journal of Big Data 2017 4:1

    Published on: 9 January 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.