Journal of Big Data

Featured Collections on Computationally Intensive Problems in General Math and Engineering

This two-part special issue covers computationally intensive problems in engineering and focuses on mathematical mechanisms of interest for emerging problems such as Partial Difference Equations, Tensor Calculus, Mathematical Logic, and Algorithmic Enhancements based on Artificial Intelligence. Applications of the research highlighted in the collection include, but are not limited to: Earthquake Engineering, Spatial Data Analysis, Geo Computation, Geophysics, Genomics and Simulations for Nature Based Construction, and Aerospace Engineering. Featured lead articles are co-authored by three esteemed Nobel laureates: Jean-Marie Lehn, Konstantin Novoselov, and Dan Shechtman.

Open Special Issues

Advancements on Automated Data Platform Management, Orchestration, and Optimization
Submission Deadline: 30 September 2024

Emergent architectures and technologies for big data management and analysis
Submission Deadline: 1 October 2024

View our collection of open and closed special issues

Read our guidelines for special issue proposals here.

An ensemble machine learning model for predicting one-year mortality in elderly coronary heart disease patients with anemia

Authors: Longcan Cheng, Yan Nie, Hongxia Wen, Yan Li, Yali Zhao, Qian Zhang, Mingxing Lei and Shihui Fu

Content type: Research 24 July 2024
Predictive modelling of MapReduce job performance in cloud environments using machine learning techniques

Authors: Mohammed Bergui, Soufiane Hourri, Said Najah and Nikola S. Nikolov

Content type: Research 23 July 2024
Hate speech detection in the Bengali language: a comprehensive survey

Authors: Abdullah Al Maruf, Ahmad Jainul Abidin, Md. Mahmudul Haque, Zakaria Masud Jiyad, Aditi Golder, Raaid Alubady and Zeyar Aung

Content type: Survey 23 July 2024
Introducing Mplots: scaling time series recurrence plots to massive datasets

Authors: Maryam Shahcheraghi, Ryan Mercer, João Manuel de Almeida Rodrigues, Audrey Der, Hugo Filipe Silveira Gamboa, Zachary Zimmerman, Kerry Mauck and Eamonn Keogh

Content type: Research 20 July 2024
Text summarization based on semantic graphs: an abstract meaning representation graph-to-text deep learning approach

Authors: Panagiotis Kouris, Georgios Alexandridis and Andreas Stafylopatis

Content type: Research 14 July 2024

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A survey on Image Data Augmentation for Deep Learning

Authors: Connor Shorten and Taghi M. Khoshgoftaar

Content type: Survey paper 6 July 2019
Big data in healthcare: management, analysis and future prospects

Authors: Sabyasachi Dash, Sushil Kumar Shakyawar, Mohit Sharma and Sandeep Kaushik

Content type: Survey paper 19 June 2019
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Authors: Laith Alzubaidi, Jinglan Zhang, Amjad J. Humaidi, Ayad Al-Dujaili, Ye Duan, Omran Al-Shamma, J. Santamaría, Mohammed A. Fadhel, Muthana Al-Amidie and Laith Farhan

Content type: Survey Paper 31 March 2021
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
Short-term stock market price trend prediction using a comprehensive deep learning system

Authors: Jingyi Shen and M. Omair Shafiq

Content type: Research 28 August 2020

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Aims and scope

The Journal of Big Data publishes open-access original research on data science and data analytics. Deep learning algorithms and all applications of big data are welcomed. Survey papers and case studies are also considered.

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.

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Journal of Big Data

Featured Collections on Computationally Intensive Problems in General Math and Engineering

Open Special Issues

Articles

An ensemble machine learning model for predicting one-year mortality in elderly coronary heart disease patients with anemia

Predictive modelling of MapReduce job performance in cloud environments using machine learning techniques

Hate speech detection in the Bengali language: a comprehensive survey

Introducing Mplots: scaling time series recurrence plots to massive datasets

Text summarization based on semantic graphs: an abstract meaning representation graph-to-text deep learning approach

A survey on Image Data Augmentation for Deep Learning

Big data in healthcare: management, analysis and future prospects

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Deep learning applications and challenges in big data analytics

Short-term stock market price trend prediction using a comprehensive deep learning system

Aims and scope

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