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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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Sparad:
Institutionellt upphov: SpringerLink (Online service)
Övriga upphov: Furht, Borko (Utgivare, redaktör, sammanställare), Khoshgoftaar, Taghi M. (Utgivare, redaktör, sammanställare)
Materialtyp: Elektronisk Tidskrift
Utgiven: Cham : Springer International Publishing : Imprint: Springer.
Ämnen:
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.
Länkar:Open Access
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Sammanfattning: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.
Fysisk beskrivning:online resource.
ISSN:2196-1115

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