Data Analytics Research Paper

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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.

Open Article Collection

Advanced Soft Computing Methodologies and Applications in Social Media Big Data Analytics

Lead Guest Editor

  • Zhiyong Zhang, Distinguished Professor, Henan University of Science & Technology, China

Guest Editors

  • Kun Hua, Lawrence Technology University, USA
  • Arun Kumar Sangaiah, VIT University, India

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