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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 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.
650		0	_aComputer science.
650		0	_aDatabase management.
650		0	_aData mining.
650		0	_aInformation storage and retrieval.
650		0	_aComputer science _xMathematics.
650		0	_aComputer mathematics.
650		0	_aElectrical engineering.
650	1	4	_aComputer Science.
650	2	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.
700	1		_aKhoshgoftaar, Taghi M. _eeditor.
710	2		_aSpringerLink (Online service)
856	4	0	_uhttp://link.springer.com/journal/40537 _zOpen Access
999			_c189568 _d189568