The Mining Process In Chile Customer Case

manufacturing [3-7]. However, more research needs to be done to understand the potential of process mining to solve real problems and to compare the performance of algorithms used in process mining [8, 9]. This paper presents the works on implementation of process mining to analyze the customer fulfilment process.

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ual customers, we can use various data mining algo-rithms, such as Apriori 8 for association rules and CART (Classification and Regression Trees) 9 for classification rules. Moreover, our profiling approach is not limited Phase 1 Phase 2 Data mining Validation Data Rules Profiles Figure 1. A simplified view of the profile-building …

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All of the following statements about data mining are true EXCEPT A) the process aspect means that data mining should be a one-step process to results. B) the novel aspect means that previously unknown patterns are discovered. C) the potentially useful aspect means that results should lead to some business benefit.

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A Review of Operations Research in Mine Planning Interfaces 40(3), pp. 222–245, ©2010 INFORMS 223 (1) determining the mining method, which consists of the geometrical arrangements of infrastructure; (2) estimating production capacity and infrastructure capital; and (3) performing detailed engineering design.

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Jacobs' project experience includes both the electrolytic zinc process and the imperial smelting process. We also help clients recover zinc from secondary sources such as lead blast furnace slag, zinc ashes, steel furnace dust, and calcine leach streams.

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RAM analysis of mining process: a case study of a Copper Smelting Process in the field of mining, Chile

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Customer Case Study The industrial network layer is configured as five LANs, one for each Chilean operation (copper mines and smelter) connected via a WAN infrastructure.