Journal of Big Data Impact Factor, Indexing, Ranking 2024

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.

《大数据杂志》致力于发表开放获取的原始研究论文，内容涵盖数据科学与数据分析领域。本刊热忱欢迎深度学习算法及大数据应用的相关研究。同时，也考虑发表综述性论文和案例研究。该期刊深入探讨了当前及未来大数据领域所面临的挑战，包括但不限于：数据采集与存储；搜索、共享与分析；大数据技术；数据可视化；大规模并行处理架构；数据挖掘工具与技术；用于大数据的机器学习算法；云计算平台；分布式文件系统和数据库；以及可扩展的存储系统。学术研究人员和实践者将发现《大数据杂志》是创新资料的源泉。