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200521s2021 flu o u eng d |
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|a 9780429433368 (eBook ISBN)
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|a (iLib)UPD-00528673716
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|a DLC
|d DENGII
|e rda
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|a eng
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|a TN 153
|b S66 2020eb
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|a Soofastaei, Ali
|e author.
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|a Data analytics applied to the mining industry
|c Ali Soofastaei.
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|a First edition.
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|a Boca Raton
|b CRC Press
|c [2020]
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|a 1 online resource.
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|a text
|2 rdacontent
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|a computer
|2 rdamedia
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|a online resource
|2 rdacarrier
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|a Includes bibliographical references and index.
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|a Digital 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.
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|a IP based subscription, on campus and remote access.
|c Access via Electronic Resources of the UPD Engineering Library and University Library websites.
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|a Electronic reproduction.
|b Boca Raton
|c CRC Press
|d 2020.
|n Available via World Wide Web through Taylor & Francis.
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|a Mining engineering
|x Data processing.
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|a Mineral industries
|x Data processing.
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|a Quantitative research.
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|a Artificial intelligence.
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650 |
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|a Electronic books.
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|a Soofastaei, Ali
|e editor.
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|z Available for University of the Philippines Diliman via Taylor & Francis. Click here to access
|u https://doi.org/10.1201/9780429433368
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|z Also available remotely for University of the Philippines Diliman via Taylor & Francis. Click here to access thru EZproxy
|u https://doi-org.ezproxy.engglib.upd.edu.ph/10.1201/9780429433368
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856 |
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|z (viewed 25 October 2021)
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|a FO
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|a UPD
|b DENG-II
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|a Electronic Resource
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