Journal of Big Data

The Journal of Big Data publishes high-quality, scholarly research papers, methodologies, and case studies covering a broad spectrum of topics, from big data analytics to data-intensive computing and all applications of big data research. It addresses challenges facing big data today and in the future, including data capture and storage, search, sharing, analytics, technologies, visualization, architectures, data mining, machine learning, cloud computing, distributed systems, and scalable storage. The journal serves as a seminal source of innovative material for academic researchers and practitioners alike.

《大数据杂志》发布关于数据科学和数据分析的开放式原创研究，涵盖广泛的主题，从大数据分析到数据密集型计算以及大数据研究的所有应用。它解决了当今和未来大数据面临的挑战，包括数据捕获和存储、搜索、共享、分析、技术、可视化、架构、数据挖掘、机器学习、云计算、分布式系统和可扩展存储。Journal of Big Data是学术研究人员和从业者创新材料的重要来源。该杂志研究了大数据当前和未来面临的挑战，包括但不限于:数据捕获和存储;搜索、共享和分析;大数据技术;数据可视化;大规模并行处理的体系结构等。