Journal of Big Data

Featured article: DIMPL: a distributed in-memory drone flight path builder system

Drones are increasingly being used to perform risky and labor intensive aerial tasks cheaply and safely. To ensure operating costs are low and flights autonomous, their flight plans must be pre-built. In existing techniques drone flight paths are not automatically pre-calculated based on drone capabilities and terrain information. This paper presents details of an automated flight plan builder DIMPL that pre-builds flight plans for drones tasked with surveying a large area to take photographs of electric poles to identify ones with hazardous vegetation overgrowth.

An adaptive and real-time based architecture for financial data integration

Authors: Noussair Fikri, Mohamed Rida, Noureddine Abghour, Khalid Moussaid and Amina El Omri

Content type: Research

11 November 2019
A graphical heuristic for reduction and partitioning of large datasets for scalable supervised training

Authors: Sumedh Yadav and Mathis Bode

Content type: Methodology

31 October 2019
Context-aware rule learning from smartphone data: survey, challenges and future directions

Authors: Iqbal H. Sarker

Content type: Survey Paper

31 October 2019
HaRD: a heterogeneity-aware replica deletion for HDFS

Authors: Hilmi Egemen Ciritoglu, John Murphy and Christina Thorpe

Content type: Research

21 October 2019
RBSEP: a reassignment and buffer based streaming edge partitioning approach

Authors: Monireh Taimouri and Hamid Saadatfar

Content type: Research

19 October 2019

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Deep learning applications and challenges in big data analytics

Authors: Maryam M Najafabadi, Flavio Villanustre, Taghi M Khoshgoftaar, Naeem Seliya, Randall Wald and Edin Muharemagic

Content type: Research

24 February 2015
Sentiment analysis using product review data

Authors: Xing Fang and Justin Zhan

Content type: Methodology

16 June 2015
Big data analytics: a survey

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

Content type: Survey paper

1 October 2015
A review of data mining using big data in health informatics

Authors: Matthew Herland, Taghi M Khoshgoftaar and Randall Wald

Content type: Survey paper

24 June 2014
A survey of transfer learning

Authors: Karl Weiss, Taghi M. Khoshgoftaar and DingDing Wang

Content type: Survey paper

28 May 2016

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Aims and scope

The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems. Academic researchers and practitioners will find the Journal of Big Data to be a seminal source of innovative material.

Journal of Big Data

Featured article: DIMPL: a distributed in-memory drone flight path builder system

Articles

An adaptive and real-time based architecture for financial data integration

A graphical heuristic for reduction and partitioning of large datasets for scalable supervised training

Context-aware rule learning from smartphone data: survey, challenges and future directions

HaRD: a heterogeneity-aware replica deletion for HDFS

RBSEP: a reassignment and buffer based streaming edge partitioning approach

Deep learning applications and challenges in big data analytics

Sentiment analysis using product review data

Big data analytics: a survey

A review of data mining using big data in health informatics

A survey of transfer learning

Aims and scope

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