Journal of Big Data is now indexed in the Science Citation Index Expanded (SCIE). We are happy to announce that in June 2022, we received our first Impact Factor rating of 10.835!
Journal News
Call for papers: Big Data in Human Behaviour Research: A contextual turn?
Despite its considerable contributions, big data analytics has long been criticized for the lack of systematic contextual consideration. This special issue takes a dedicated look into these diverse ways of interaction, which are shaped by the socioeconomic, cultural, and political factors of different contexts, can best facilitate a much-needed conversation between human and data sciences.
Articles
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Predicting oral cancer risk in patients with oral leukoplakia and oral lichenoid mucositis using machine learning
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An enhanced random forest approach using CoClust clustering: MIMIC-III and SMS spam collection application
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Deep learning based deep-sea automatic image enhancement and animal species classification
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A study on improving turnover intention forecasting by solving imbalanced data problems: focusing on SMOTE and generative adversarial networks
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A survey on Image Data Augmentation for Deep Learning
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Big data in healthcare: management, analysis and future prospects
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Deep learning applications and challenges in big data analytics
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Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
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Short-term stock market price trend prediction using a comprehensive deep learning system
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.
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.
Special Issues
Advanced Soft Computing Methodologies and Applications in Social Media Big Data Analytics
Edited by: Zhiyong Z. Zhang, Kun Hua, Arun Kumar Sangaiah
First published: 25 January 2018
Knowledge-Based Big Data Management in Cloud Computing Environments
Edited by: Zongmin Ma, Fu Zhang, Wen-Chen Hu
First published: 16 July 2015
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Annual Journal Metrics
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Citation Impact
10.835 - 2 Year Impact Factor (2021)
4.661 - Source Normalized Impact per Paper (SNIP)
2.592 - SCImago Journal Rank (SJR)
14.4 - CiteScoreSpeed
48 days to first decision for all manuscripts (Median)
53 days to first decision for reviewed manuscripts only (Median)Usage
1,878,037 downloads (2021)
982 Altmetric mentions (2021)
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- ISSN: 2196-1115 (electronic)