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001 UP-99796217613887639
003 Buklod
005 20211025165614.0
006 aa grm 000 0
007 cr |||||||||||
008 200521s2021 flu o u eng d
020 |a 9780429433368 (eBook ISBN) 
035 |a (iLib)UPD-00528673716 
040 |a DLC  |d DENGII  |e rda 
041 |a eng 
084 |a TN 153  |b S66 2020eb 
100 1 |a Soofastaei, Ali  |e author. 
245 0 0 |a Data analytics applied to the mining industry  |c Ali Soofastaei. 
250 |a First edition. 
264 1 |a Boca Raton  |b CRC Press  |c [2020] 
300 |a 1 online resource. 
336 |a text  |2 rdacontent 
337 |a computer  |2 rdamedia 
338 |a online resource  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
505 0 |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. 
506 |a IP based subscription, on campus and remote access.  |c Access via Electronic Resources of the UPD Engineering Library and University Library websites. 
533 |a Electronic reproduction.  |b Boca Raton  |c CRC Press  |d 2020.  |n Available via World Wide Web through Taylor & Francis. 
650 0 |a Mining engineering  |x Data processing. 
650 0 |a Mineral industries  |x Data processing. 
650 0 |a Quantitative research. 
650 0 |a Artificial intelligence. 
650 0 |a Electronic books. 
700 1 |a Soofastaei, Ali  |e editor. 
856 4 0 |z Available for University of the Philippines Diliman via Taylor & Francis. Click here to access  |u https://doi.org/10.1201/9780429433368 
856 4 0 |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 
856 |z (viewed 25 October 2021) 
905 |a FO 
852 1 |a UPD  |b DENG-II 
942 |a Electronic Resource