000			02088cam a2200337 i 4500
001			21735
003			OSt
005			20241230110402.0
008			210419s20212021ne a b 001 0 eng c
020			_a9780128179765 _q(paperback)
020			_z9780128179772 _q(ePub ebook)
040			_aYDX _beng _cYDX _erda _dBDX _dOCLCQ _dUKMGB _dOCLCO _dINU _dOCLCO _dDLC _dIQ-MoCLU
082			_223 _a338.9270285 _bD232
245	0	0	_aData science applied to sustainability analysis / _cedited by Jennifer B. Dunn, Prasanna Balaprakash.
264		1	_aAmsterdam, Netherlands : _bElsevier, _c[2021]
264		4	_c©2021
300			_axi, 297 pages : _billustrations (chiefly colour) ; _c24 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
520			_a"Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions. In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas."--
650		0	_aSustainable development _xData processing.
650		6	_aDéveloppement durable _xInformatique.
700	1		_aDunn, Jennifer B., _eeditor.
700	1		_aBalaprakash, Prasanna, _eeditor.
776	0	8	_iElectronic version: _tData science applied to sustainability analysis. _dAmsterdam, Netherlands : Elsevier, [2021] _w(OCoLC)1251803659 _z9780128179772
910			_aASEEL
942			_2ddc _n0 _cBK
999			_c21735 _d21735