Innovation in the Mining Industry: Technological Trends and …

Innovation plays a critical role in the mining industry as a tool to improve the efficiency of its processes, to reduce costs, but also to meet the increasing social and environmental concerns among communities and authorities. Technological progress has also been crucial to allow the exploitation of new deposits in more complex scenarios: lower ore …

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The Recent Progress China Has Made in Mining Method

As the world's largest resource production and consumption country, China is rich in mineral resources, but its per capita occupancy is lower than the world average. In this context, mining enterprises need to choose efficient, green, and safe mining methods. The backfilling method has been paid more and more attention in domestic mines because of its remarkable …

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THE DEVELOPMENT OF A NOVEL MODEL FOR MINING …

and mining methods (Bascetin et al., 2006). In 2009, Naghadehi and Mikaeil, using FAHP and considering 13 parameters, developed a model for the MMS process. Their model had underground mining methods as candi-dates of the process; additionally this model had been proposed for Jajarm bauxite mine and it was not extend-

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A priority-aware sequential pattern mining method for …

To detect frequent alarm itemset patterns, Hu et al. [25] proposed a closed pattern mining method to discover and determine representative itemset patterns from alarm sets. To distill sequential patterns where alarm orders were essential, the PrefixSpan algorithm was applied and demonstrated to be effective [26], [27], [28] .

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Mining Method

The following discussion and illustrations of mining methods are based on Guither et al. (1984). Room and pillar. In room-and-pillar mines, coal is removed from haulage-ways (entries) and selected areas called rooms. Pillars of unmined coal are left between the rooms to support the roof. Depending on the size of rooms and pillars, the amount of ...

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Geochemical Mineral Exploration Methods in Mining

Geochemical Methods and the Mining Industry. As populations expand, the demand for resources like mineral deposits increases. These deposits are often considered geochemical anomalies, making their detection and environmental impact assessment dependent on geochemical techniques. ... Kyser, K. et al. (2015). Applied Geochemistry in Mineral ...

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Machine Learning and Data Mining Methods in Diabetes …

Even pleiotropic genes have a strong impact on DM onset and progression. It's a fact that pleiotropic genes cannot be easily associated with important diseases. To this end, Park et al. developed an association rule mining-based method to discover patterns of multiple phenotypic associations over 52 anthropometric and biochemical traits [131 ...

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Chapter 3 River Sand Mining and Mining Methods

River Sand Mining and Mining Methods Abstract Large-scale sand extraction from river environment for building constructions is a global phenomenon. Indiscriminate sand mining imposes a series ... (Kondolf et al. 2002). Further, river channel sediments are crucial for building fluvial landforms. In the active part of

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The development of a mining method selection model through …

In the mining industry, Dehghani et al. (2017) used GRA to select a mining method. To assess mine safety, Xu Q and Xi K [34] used GRA in combination with bow tie. GRA was used to study the coal mines accidents by Shuai and Jin-Long [35]. In 2018, Bao et al. applied GRA in combination to DEA model to evaluating the safety benefits of the mining ...

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Chapter 6: Mining Frequent Patterns, Association and

Apriori Pruning and Scalable Mining Methods Apriori pruning principle: If there is any itemset which is infrequent, its superset should not even be generated! (Agrawal & Srikant @VLD94, Mannila, et al. @ KDD 94) Scalable mining Methods: Three major approaches Level-wise, join-based approach: Apriori (Agrawal & Srikant@VLD94)

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Predicting breast cancer survivability: a comparison of …

DOI: 10.1016/j.artmed.2004.07.002 Corpus ID: 13545404; Predicting breast cancer survivability: a comparison of three data mining methods @article{Delen2005PredictingBC, title={Predicting breast cancer survivability: a comparison of three data mining methods}, author={Dursun Delen and Glenn Walker and Amit Kadam}, journal={Artificial intelligence in medicine}, year={2005}, …

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Timing of transition from open-pit to underground mining: …

Schematic of resource distribution for the combination mining method (Chung et al., 2016). Generally, when there is a potential to employ the combined OP and UG mining method, the resource distribution for each mining method is inversely proportional. If the final pit goes deeper, the potential resource available for the UG mining method is lesser.

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12 Mining methods and method selection

Different mining methods are designed to produce different types and magnitudes of displacements, in the near-field and far-field domains of an orebody. For example, the mining method illustrated schematically in Figure 12.2 is designed to restrict rock displacements in both the near field and the far field of the orebody to elastic orders

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A literature review of Multi Criteria Decision-Making …

In the past, the traditional mining method selection depended on the previous engineering examples or experience of experts or mining companies (Namin et al., 2022). Expert experience, knowledge, and the decision-maker's intention play important roles during the decision-making process of mining method selection (Xu and Wei, 2004).

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