Process Data Mining
Mostrando 1-12 de 123 artigos, teses e dissertações.
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1. Obtaining geotechnical parameters from correlations between geophysics and CPT tests in tailings dams
Abstract This article introduces a hassle-free methodology for geotechnical parameters to be obtained from correlations between geophysics and CPT field tests in tailings dams undergoing the decommissioning process, which are reasonably representative of site conditions, from the very early project stages, with extensive coverage of all impoundment parts, wi
REM, Int. Eng. J.. Publicado em: 2020-12
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2. Open stope stability assessment through artificial intelligence
Abstract Underground mining is a set of methods that allows the extraction of ore in depth, ensuring sustainability and economic viability. One of the problems that arise in underground mine operations is open stope stability. The method for assessing stabil ity of open stopes is the stability graph proposed by Mathews et al. (1981). It is possible to estima
REM, Int. Eng. J.. Publicado em: 2020-09
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3. Dimensional design of the barometric leg of a flotation column: a key to operational stability
Abstract The inefficiency in controlling the slurry/froth interface level of a scavenger column flotation stage was severely impairing the process performance of an iron mining company, increasing the iron content in the tailings to levels above 20% and, consequently, not meeting the company's iron recovery and pellet feed production targets. Based on mass b
REM, Int. Eng. J.. Publicado em: 2020-03
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4. Data mining as a hatchery process evaluation tool
ABSTRACT The hatchery is one of the most important segments of the poultry chain, and generates an abundance of data, which, when analyzed, allow for identifying critical points of the process . The aim of this study was to evaluate the applicability of the data mining technique to databases of egg incubation of broiler breeders and laying hen breeders. The
Sci. agric. (Piracicaba, Braz.). Publicado em: 04/11/2019
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5. FOUR DECADES OF HYDROLOGICAL PROCESS SIMULATION OF THE ITACAIÚNAS RIVER WATERSHED, SOUTHEAST AMAZON
Abstract The impacts of anthropogenic degradation are becoming increasingly more evident in the Amazon and are jeopardizing its environmental systems and water resources, particularly in low monitored watersheds. Thus, the use of hydrological models is necessary to gain an understanding of these impacts on Amazonian river systems. The aim of this study was t
Bol. Ciênc. Geod.. Publicado em: 14/10/2019
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6. ARTIFICIAL NEURAL NETWORKS APPLIED IN FOREST BIOMETRICS AND MODELING: STATE OF THE ART (JANUARY/2007 TO JULY/2018)
ABSTRACT Artificial Intelligence has been an important support tool in different spheres of activity, enabling knowledge aggregation, process optimization and the application of methodologies capable of solving complex real problems. Despite focusing on a wide range of successful metrics, the Artificial Neural Network (ANN) approach, a technique similar to t
CERNE. Publicado em: 09/09/2019
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7. Análise e interpretação de ideias: proposta de um modelo
Resumo As ideias são consideradas a matéria-prima do processo de inovação. Boas ideias podem impactar no planejamento de ações de melhoria contínua e na promoção de produtos diferenciados. O conhecimento envolvido no domínio de Gestão de Ideias é geralmente latente e deve ser descoberto de forma adequada usando métodos quantitativos, como a mine
Perspect. ciênc. inf.. Publicado em: 02/09/2019
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8. ORGANIZATIONAL IRRESPONSIBILITIES OR ABSENCE OF TERRITORIAL GOVERNANCE? REFLECTIONS ON ENVIRONMENTAL MANAGEMENT IN THE MINAS-RIO PROJECT
Resumo Este trabalho teve por objetivo sistematizar e analisar dimensões sociais e organizacionais do processo de licenciamento ambiental e implantação do projeto minerário Minas-Rio, discutindo fragilidades metodológicas e gerenciais evidenciadas pelo acúmulo de denúncias de irregularidades, conflitos socioambientais e falhas de planejamento do empre
Ambient. soc.. Publicado em: 26/08/2019
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9. Business Analytics in Tourism: Uncovering Knowledge from Crowds
Abstract Business Analytics leverages value from data, thus being an important tool for the decision-making process. However, the presence of data in different formats is a new challenge for analysis. Textual data has been drawing organizational attention as thousands of people express themselves daily in text, like the description of customer perceptions in
BAR, Braz. Adm. Rev.. Publicado em: 08/08/2019
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10. An integrated pit-to-plant approach using technological models for strategic mine planning of copper and gold deposits
Abstract The strategic mine plan is a crucial step for the success of mining companies, and for its development, it is necessary to use a number of inter-related variables that are usually estimated independently. These variables include operational data that is traditionally isolated in information islands between the different departments in the mine or th
REM, Int. Eng. J.. Publicado em: 2019-06
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11. Investigation of the Roof Presplitting and Rock Mass Filling Approach on Controlling Large Deformations and Coal Bumps in Deep High-Stress Roadways
Abstract Roadway deformation and coal bumps are major challenges for underground engineering. Taking the Lu'an mining district in Shanxi Province as an example, the failure mechanism of deep high-stress roadway was studied. Numerical simulations and the similar material test were performed to investigate the effect of the roof presplitting and rock mass fill
Lat. Am. j. solids struct.. Publicado em: 27/05/2019
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12. Preprocessing procedures and supervised classification applied to a database of systematic soil survey
ABSTRACT: Data Mining techniques play an important role in the prediction of soil spatial distribution in systematic soil surveying, though existing methodologies still lack standardization and a full understanding of their capabilities. The aim of this work was to evaluate the performance of preprocessing procedures and supervised classification approaches
Sci. agric. (Piracicaba, Braz.). Publicado em: 20/05/2019