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006 m o d |
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008 160218t20162016enka ob 001 0 eng d
020 _z9781118577691
020 _a9781118577486 (e-book)
035 _a(MiAaPQ)ebr11152546
040 _aMiAaPQ
_beng
_erda
_epn
_cMiAaPQ
_dMiAaPQ
050 4 _aTJ163.5.B84
_b.M346 2016eb
082 0 4 _a696
_223
100 1 _aMagoulès, F.
_q(Frédéric),
_eauthor.
245 1 0 _aData mining and machine learning in building energy analysis /
_cFrédéric Magoulès, Hai-Xiang Zhao.
264 1 _aLondon, England ;
_aHoboken, New Jersey :
_bISTE :
_bWiley,
_c2016.
264 4 _c©2016
300 _a1 online resource (187 pages) :
_billustrations (some color).
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
490 1 _aComputer Engineering Series
504 _aIncludes bibliographical references and index.
588 _aDescription based on print version record.
590 _aElectronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
650 0 _aBuildings
_xEnergy conservation
_xResearch.
650 0 _aData mining.
655 4 _aElectronic books.
700 1 _aZhao, Hai-Xiang,
_eauthor.
776 0 8 _iPrint version:
_aMagoulès, Frédéric.
_tData mining and machine learning in building energy analysis.
_dLondon, England ; Hoboken, New Jersey : ISTE : Wiley, c2016
_hxiv, 164 pages
_kComputer engineering series.
_z9781118577691
_w2015958612
797 2 _aProQuest (Firm)
830 0 _aComputer engineering series.
856 4 0 _uhttp://site.ebrary.com/lib/daystar/Doc?id=11152546
_zAn electronic book accessible through the World Wide Web; click to view
908 _a170314
942 0 0 _cEB
999 _c186218
_d186218