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As described in Section 3.1, data mining techniques enable inferring patterns and generalizations from large datasets.
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There are only two mining techniques for recovering coal from the earth; underground mining and surface mining.
So, with this purpose data mining techniques were used.
Data extraction and content analysis via data mining techniques were performed on these articles.
Text mining and web mining techniques [24] enable to gather, organize and visualize information of company, industry, product and customer from unstructured data on the web.
Model-Based Multifactor Dimensionality Reduction (MB-MDR) is a data mining technique that enables the fast identification of gene-gene interactions among thousands of SNPs, without the need to make restrictive assumptions about the genetic modes of inheritance.
The authors' work on mine systems, combines field and laboratory integrated microbial geochemical investigation with high-resolution techniques enabling characterization and visualization at the bacterium scale (i.e. STXM).
Following this view, it is argued that the combination of knowledge, technologies such as semantic and text mining techniques together with IT systems enable organizations to gain a new understanding, and experience of knowledge-related services [1].
This fact enables the usage of process mining techniques as a powerful tool for process analysis.
During the 18th century, improvements in mining techniques and the development of the steam engine enabled the exploration of the concealed coalfield east of Newcastle.
This innovative approach enables access to resources not accessible by conventional mining techniques such as abundant low-grade sources of valuable elements (Li et al. 2003; Van der Ent et al. 2015a).
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CEO of Professional Science Editing for Scientists @ prosciediting.com