Journal of Big Data

Do you have an idea for a thematic series (special issue)? Let us know!

Call for papers: Advanced bio-inspired deep learning algorithms for multi-modal perceptual big data analysis in car-driver assistance systems

Next generation cars collect a wide variety of data coming from different systems that need to be processed and merged in order to provide adequate car driving assistance. The thematic series will look at approaches to car-driver assistance systems that make use of sophisticated bio-inspired algorithms and modern deep learning approaches.

A comprehensive survey of anomaly detection techniques for high dimensional big data

Authors: Srikanth Thudumu, Philip Branch, Jiong Jin and Jugdutt (Jack) Singh

Content type: Survey Paper

2 July 2020
Cybersecurity data science: an overview from machine learning perspective

Authors: Iqbal H. Sarker, A. S. M. Kayes, Shahriar Badsha, Hamed Alqahtani, Paul Watters and Alex Ng

Content type: Survey Paper

1 July 2020
A hybrid semantic query expansion approach for Arabic information retrieval

Authors: Hiba ALMarwi, Mossa Ghurab and Ibrahim Al-Baltah

Content type: Research

29 June 2020
Preventive healthcare policies in the US: solutions for disease management using Big Data Analytics

Authors: Feras A. Batarseh, Iya Ghassib, Deri (Sondor) Chong and Po-Hsuan Su

Content type: Research

23 June 2020
SICE: an improved missing data imputation technique

Authors: Shahidul Islam Khan and Abu Sayed Md Latiful Hoque

Content type: Research

12 June 2020

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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
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 survey of transfer learning

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

Content type: Survey paper

28 May 2016
A survey on Image Data Augmentation for Deep Learning

Authors: Connor Shorten and Taghi M. Khoshgoftaar

Content type: Survey paper

6 July 2019

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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

Do you have an idea for a thematic series (special issue)? Let us know!

Call for papers: Advanced bio-inspired deep learning algorithms for multi-modal perceptual big data analysis in car-driver assistance systems

Articles

A comprehensive survey of anomaly detection techniques for high dimensional big data

Cybersecurity data science: an overview from machine learning perspective

A hybrid semantic query expansion approach for Arabic information retrieval

Preventive healthcare policies in the US: solutions for disease management using Big Data Analytics

SICE: an improved missing data imputation technique

Deep learning applications and challenges in big data analytics

Big data analytics: a survey

A survey of transfer learning

A survey on Image Data Augmentation for Deep Learning

Aims and scope

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