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001			29768586
003			StDuBDS
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007			cr||||||||||||
008			240112c20249999enk|| p|o|||| 0 |2eng|d
022			_a2976-8586
040			_aStDuBDS _beng _cStDuBDS _erda _epn
050		4	_aQA76.9.D343 _bR7
072		7	_aDGL _2ukslc
082	0	4	_a006.31205 _223
245	0	0	_aRSS : _bdata science.
264	3	1	_aOxford : _bOxford University Press, _c2024-
300			_a1 online resource
310			_aFrequency of update unknown
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
362	1		_a2024-
500			_a"Royal Statistical Society"--Home page.
506	0		_aOpen access.
520	8		_a'RSS: Data Science' provides a new forum for research of interest to a broad readership spanning the data science fields. The journal has been created in recognition of the growing importance of data science in science and society and the need for a venue that truly spans the relevant fields. The journal will therefore welcome papers from across the breadth of data science, including AI, statistics, machine learning, econometrics, bioinformatics, engineering, computational social sciences and beyond.
588			_aDescription based on online resource; title from home page (viewed on January 12, 2024).
650		0	_aData mining _vPeriodicals.
650		0	_aMachine learning _vPeriodicals.
650		0	_aArtificial intelligence _vPeriodicals.
650		7	_aDigital Lifestyle. _2ukslc
710	2		_aRoyal Statistical Society (Great Britain), _eissuing body.
856	4	0	_3Oxford Academic _uhttps://academic.oup.com/rssdat
999			_c19519 _d19519