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022			_a2196-1115
024	7		_a40537 _2local
210	1	0	_aJ Big Data
245	1	0	_aJournal of Big Data _h[electronic resource] / _cedited by Borko Furht, Taghi M. Khoshgoftaar.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer.
300			_bonline resource.
520			_aThe Journal of Big Data publishes open-access original research on data science and data analytics. Deep learning algorithms and all applications of big data are welcomed. Survey papers and case studies are also considered. 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.
650		0	_aDatabase management.
650		0	_aInformation storage and retrieval systems.
650		0	_aData mining.
650		0	_aMathematics—Data processing.
650		0	_aComputer science—Mathematics.
650		0	_aTelecommunication.
650	1	4	_aDatabase Management.
650	2	4	_aInformation Storage and Retrieval.
650	2	4	_aData Mining and Knowledge Discovery.
650	2	4	_aComputational Science and Engineering.
650	2	4	_aMathematical Applications in Computer Science.
650	2	4	_aCommunications Engineering, Networks.
700	1		_aFurht, Borko. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKhoshgoftaar, Taghi M. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
856	4	0	_uhttp://link.springer.com/journal/40537 _zOpen Access
999			_c1607 _d1607