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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Erakunde egilea: SpringerLink (Online service)
Beste egile batzuk: Furht, Borko (Argitaratzailea), Khoshgoftaar, Taghi M. (Argitaratzailea)
Formatua: Baliabide elektronikoa Aldizkaria
Argitaratua: Cham : Springer International Publishing : Imprint: Springer.
Gaiak:
Sarrera elektronikoa:Open Access
Etiketak: Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
Deskribapena
Gaia: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.
Deskribapen fisikoa:online resource.
ISSN:2196-1115