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Journal of Big Data

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 goi...

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Corporate Author: SpringerLink (Online service)
Other Authors: Furht, Borko (Editor), Khoshgoftaar, Taghi M. (Editor)
Format: Electronic Journal
Published: Cham : Springer International Publishing : Imprint: Springer.
Subjects:
Computer science.
Database management.
Data mining.
Information storage and retrieval.
Computer science > Mathematics.
Computer mathematics.
Electrical engineering.
Computer Science.
Database Management.
Information Storage and Retrieval.
Data Mining and Knowledge Discovery.
Computational Science and Engineering.
Mathematical Applications in Computer Science.
Communications Engineering, Networks.
Online Access:Open Access
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Summary: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.
Physical Description:online resource.
ISSN:2196-1115

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