Sort by
Previous Page Page 2 of 3 Next Page
  1. Research

    Reaping the benefits of big data in telecom

    We collect big data use cases for a representative sample of telecom companies worldwide and observe a wide and skewed distribution of big data returns, with a few companies reporting large impact for a long t...

    Jacques Bughin

    Journal of Big Data 2016 3:14

    Published on: 28 July 2016

  2. Research

    Spatial data extension for Cassandra NoSQL database

    The big data phenomenon is becoming a fact. Continuous increase of digitization and connecting devices to Internet are making current solutions and services smarter, richer and more personalized. The emergence...

    Mohamed Ben Brahim, Wassim Drira, Fethi Filali and Noureddine Hamdi

    Journal of Big Data 2016 3:11

    Published on: 22 June 2016

  3. Research

    Towards shortest path identification on large networks

    The use of Big Data in today’s world has become a necessity due to the massive number of technologies developed recently that keeps on providing us with data such as sensors, surveillance system and even smart...

    Haysam Selim and Justin Zhan

    Journal of Big Data 2016 3:10

    Published on: 13 June 2016

  4. Survey paper

    A survey of transfer learning

    Machine learning and data mining techniques have been used in numerous real-world applications. An assumption of traditional machine learning methodologies is the training data and testing data are taken from ...

    Karl Weiss, Taghi M. Khoshgoftaar and DingDing Wang

    Journal of Big Data 2016 3:9

    Published on: 28 May 2016

  5. Research

    A novel framework to analyze road accident time series data

    Road accident data analysis plays an important role in identifying key factors associated with road accidents. These associated factors help in taking preventive measures to overcome the road accidents. Variou...

    Sachin Kumar and Durga Toshniwal

    Journal of Big Data 2016 3:8

    Published on: 26 May 2016

  6. Research

    Topic discovery and future trend forecasting for texts

    Finding topics from a collection of documents, such as research publications, patents, and technical reports, is helpful for summarizing large scale text collections and the world wide web. It can also help fo...

    Jose L. Hurtado, Ankur Agarwal and Xingquan Zhu

    Journal of Big Data 2016 3:7

    Published on: 14 April 2016

  7. Case study

    An AppGallery for dataflow computing

    This paper describes the vision behind and the mission of the Maxeler Application Gallery ( project. First, it concentrates on the essence and performance advantages of the Maxeler dataf...

    Nemanja Trifunovic, Veljko Milutinovic, Nenad Korolija and Georgi Gaydadjiev

    Journal of Big Data 2016 3:4

    Published on: 18 February 2016

  8. Research

    Big data, Big bang?

    Using a random sample consisting of hundreds of companies worldwide, we are testing the impact on company performance of investing in big data projects targeted on three major business domains (namely, custome...

    Jacques Bughin

    Journal of Big Data 2016 3:2

    Published on: 7 January 2016

  9. Methodology

    The ubiquitous self-organizing map for non-stationary data streams

    The Internet of things promises a continuous flow of data where traditional database and data-mining methods cannot be applied. This paper presents improvements on the Ubiquitous Self-Organized Map (UbiSOM), a...

    Bruno Silva and Nuno Cavalheiro Marques

    Journal of Big Data 2015 2:27

    Published on: 14 December 2015

  10. Research

    A data mining framework to analyze road accident data

    One of the key objectives in accident data analysis to identify the main factors associated with a road and traffic accident. However, heterogeneous nature of road accident data makes the analysis task difficu...

    Sachin Kumar and Durga Toshniwal

    Journal of Big Data 2015 2:26

    Published on: 21 November 2015

  11. Survey paper

    Survey of review spam detection using machine learning techniques

    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...

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

    Journal of Big Data 2015 2:23

    Published on: 5 October 2015

  12. Survey paper

    Big data analytics: a survey

    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...

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

    Journal of Big Data 2015 2:21

    Published on: 1 October 2015

  13. Survey paper

    Big data in manufacturing: a systematic mapping study

    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...

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

    Journal of Big Data 2015 2:20

    Published on: 11 September 2015

  14. Research

    Choosing the right NoSQL database for the job: a quality attribute evaluation

    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...

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

    Journal of Big Data 2015 2:18

    Published on: 14 August 2015

Previous Page Page 2 of 3 Next Page

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. Previously published articles will appear in Scopus in the coming months.