000 03140cam a2200577 i 4500
001 9780429433368
003 FlBoTFG
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006 m o d
007 cr |||||||||||
008 200521t20212021flua ob 001 0 eng
040 _aOCoLC-P
_beng
_erda
_cOCoLC-P
020 _a9780429433368
_qelectronic book
020 _a0429433360
_qelectronic book
020 _a9780429781759
_qelectronic book
020 _a042978175X
_qelectronic book
020 _a9780429781773
_qelectronic book
020 _a0429781776
_qelectronic book
020 _a0429781768
_qelectronic book
020 _a9780429781766
_qelectronic book
020 _z9781138360006
_qhardcover
020 _z9780367612245
_qpaperback
035 _a(OCoLC)1156428782
035 _a(OCoLC-P)1156428782
050 0 4 _aTN153
_b.D28 2021
072 7 _aCOM
_x021030
_2bisacsh
072 7 _aTEC
_x009020
_2bisacsh
072 7 _aTEC
_x009150
_2bisacsh
072 7 _aKNAT
_2bicssc
082 0 0 _a622.0285
_223
245 0 0 _aData analytics applied to the mining industry /
_cAli Soofastaei.
250 _a1st edition.
264 1 _aBoca Raton, FL :
_bCRC Press,
_c2021.
264 4 _c©2021
300 _a1 online resource (xvii, 253 pages) :
_billustrations (chiefly color)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
505 0 _aDigital transformation of mining -- Advanced-data analytics -- Data collection, storage and retrieval -- Making sense of data -- Analytics toolsets -- Process analytics -- Predictive maintenance of mining machines : applying advanced data analysis -- Data analytics for energy efficiency and gas emission reduction -- Making decisions based on analytics -- Future skills requirements.
520 _a"The book describes the key challenges facing the mining sector as it transforms into a digital industry able to fully exploit process automation, remote operation centres, autonomous equipment and the opportunities offered by the industrial internet of things. It provides guidelines on how data needs to be collected, stored and managed to enable the different advanced data analytics methods to be applied effectively in practice, through use of case studies and worked examples. Each chapter ends with a section detailing lessons for mining. The final chapter explores the revised operating principles, the organizational characteristics and the new skills needed by mining companies"--
_cProvided by publisher.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aMining engineering
_xData processing.
650 0 _aMineral industries
_xData processing.
650 0 _aQuantitative research.
650 0 _aArtificial intelligence.
650 7 _aCOMPUTERS / Database Management / Data Mining
_2bisacsh
650 7 _aTECHNOLOGY / Engineering / Civil
_2bisacsh
700 1 _aSoofastaei, Ali,
_eeditor.
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9780429433368
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c4588
_d4588