Articles

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

  2. 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

  3. 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

  4. Research

    Limited random walk algorithm for big graph data clustering

    Graph clustering is an important technique to understand the relationships between the vertices in a big graph. In this paper, we propose a novel random-walk-based graph clustering method. The proposed method ...

    Honglei Zhang, Jenni Raitoharju, Serkan Kiranyaz and Moncef Gabbouj

    Journal of Big Data 2016 3:26

    Published on: 1 December 2016

  5. Survey paper

    Big data privacy: a technological perspective and review

    Big data is a term used for very large data sets that have more varied and complex structure. These characteristics usually correlate with additional difficulties in storing, analyzing and applying further pro...

    Priyank Jain, Manasi Gyanchandani and Nilay Khare

    Journal of Big Data 2016 3:25

    Published on: 26 November 2016

  6. Research

    TreeNet analysis of human stress behavior using socio-mobile data

    Human behavior is essentially social and humans start their daily routines by interacting with others. There are many forms of social interactions and we have used mobile phone based social interaction feature...

    B. Padmaja, V. V. Rama Prasad and K. V. N. Sunitha

    Journal of Big Data 2016 3:24

    Published on: 16 November 2016

  7. Research

    An optimized approach for community detection and ranking

    Community structures and relation patterns, and ranking them for social networks provide us with great knowledge about network. Such knowledge can be utilized for target marketing or grouping similar, yet dist...

    Matin Pirouz, Justin Zhan and Shahab Tayeb

    Journal of Big Data 2016 3:22

    Published on: 10 November 2016

  8. Research

    Data-aware optimization of bioinformatics workflows in hybrid clouds

    Life Sciences have been established and widely accepted as a foremost Big Data discipline; as such they are a constant source of the most computationally challenging problems. In order to provide efficient sol...

    Athanassios M. Kintsakis, Fotis E. Psomopoulos and Pericles A. Mitkas

    Journal of Big Data 2016 3:20

    Published on: 21 October 2016

  9. Research

    Big data analysis for financial risk management

    A very important area of financial risk management is systemic risk modelling, which concerns the estimation of the interrelationships between financial institutions, with the aim of establishing which of them...

    Paola Cerchiello and Paolo Giudici

    Journal of Big Data 2016 3:18

    Published on: 1 October 2016

  10. Research

    Identification of top-K influential communities in big networks

    Because communities are the fundamental component of big data/large data network graphs, community detection in large-scale graphs is an important area to study. Communities are a collection of a set of nodes ...

    Justin Zhan, Vivek Guidibande and Sai Phani Krishna Parsa

    Journal of Big Data 2016 3:16

    Published on: 8 September 2016

  11. Research

    Multi-method approach to wellness predictive modeling

    Patient wellness and preventative care are increasingly becoming a concern for many patients, employers, and healthcare professionals. The federal government has increased spending for wellness alongside new l...

    Ankur Agarwal, Christopher Baechle, Ravi S. Behara and Vinaya Rao

    Journal of Big Data 2016 3:15

    Published on: 24 August 2016

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

Previous Page Page 1 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.