Application of Big Data Mining, Machine Learning and Artificial Intelligence in Ore Deposits

With the advent of the era of big data AI, scientific research has moved into its fourth research paradigm: data-intensive science. Big data and machine learning have brought the study of ore deposits onto the artificial intelligence research stage. Big data mining, machine learning, and artificial...

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Jazyk:angličtina
Vydáno: MDPI - Multidisciplinary Digital Publishing Institute 2026
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On-line přístup:ONIX_20260416T142754_9783725854639_32
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collection Directory of Open Access Books
description With the advent of the era of big data AI, scientific research has moved into its fourth research paradigm: data-intensive science. Big data and machine learning have brought the study of ore deposits onto the artificial intelligence research stage. Big data mining, machine learning, and artificial intelligence algorithms and models have been applied to study multi-scale and multi-type ore deposit observation and exploration. The goal of this reprint is to highlight recent progress in the research and applications of big data and machine learning in the fields of ore deposit exploration.
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institution Directory of Open Access Books
language eng
publishDate 2026
publishDateRange 2026
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publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
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spelling doab-20.500.12854ir-1747772026-04-16T16:21:38Z Application of Big Data Mining, Machine Learning and Artificial Intelligence in Ore Deposits Zhou, Yongzhang Zuo, Renguang Machine learning Artificial intelligence Big data mining Ore deposit Mineral resources prediction Geochemical exploration CNN Knowledge graph thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning With the advent of the era of big data AI, scientific research has moved into its fourth research paradigm: data-intensive science. Big data and machine learning have brought the study of ore deposits onto the artificial intelligence research stage. Big data mining, machine learning, and artificial intelligence algorithms and models have been applied to study multi-scale and multi-type ore deposit observation and exploration. The goal of this reprint is to highlight recent progress in the research and applications of big data and machine learning in the fields of ore deposit exploration. 2026-04-16T16:21:33Z 2026-04-16T16:21:33Z 2025 book ONIX_20260416T142754_9783725854639_32 9783725854639 9783725854646 https://directory.doabooks.org/handle/20.500.12854/174777 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/11656 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-5464-6 10.3390/books978-3-7258-5464-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725854639 9783725854646 222 CH open access
spellingShingle Machine learning
Artificial intelligence
Big data mining
Ore deposit
Mineral resources prediction
Geochemical exploration
CNN
Knowledge graph
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning
Application of Big Data Mining, Machine Learning and Artificial Intelligence in Ore Deposits
title Application of Big Data Mining, Machine Learning and Artificial Intelligence in Ore Deposits
title_full Application of Big Data Mining, Machine Learning and Artificial Intelligence in Ore Deposits
title_fullStr Application of Big Data Mining, Machine Learning and Artificial Intelligence in Ore Deposits
title_full_unstemmed Application of Big Data Mining, Machine Learning and Artificial Intelligence in Ore Deposits
title_short Application of Big Data Mining, Machine Learning and Artificial Intelligence in Ore Deposits
title_sort application of big data mining machine learning and artificial intelligence in ore deposits
topic Machine learning
Artificial intelligence
Big data mining
Ore deposit
Mineral resources prediction
Geochemical exploration
CNN
Knowledge graph
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning
topic_facet Machine learning
Artificial intelligence
Big data mining
Ore deposit
Mineral resources prediction
Geochemical exploration
CNN
Knowledge graph
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning
url ONIX_20260416T142754_9783725854639_32