To explore the proposed research questions, the copper value chain in Brazil was mapped to identify the links where domestic suppliers operate. The study ...
data mining research paper
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This paper systematically presents six key facts that emerge from the data, offering an assess- ment of how the AI revolution is reshaping the ...
In the end both the educational mining and learning analytics are about getting some knowledge to support the teaching and learning processes. These two topics ...
The potential effects of mining processes on the marine environment have been the subject of many scientific papers (e.g. Levin et al. 2016; Van Dover et al ...
This report provides an analysis of technology adoption and their associated impacts, drawing on case studies from six large-scale mining operations in six ...
Abstract: The data mining (DM) is the computational process that consists of searching, extracting, and analyzing patterns in large data.
Data mining is a vast area of research and there is an abundance of methods and techniques that can generate implicit and explicit knowledge (Witten et al., ...
mining research efforts. While some research functions were transferred from the USBM to other agencies, a number of USBM research offices and centers were ...
Therefore, the research is based on improving the K-means algorithm and the Apriori algorithm, and applying them together in the employment ...
The objective of this study is to provide a comprehensive review of environmental issues related to mining and to analyze the mitigation and ...
These 10 algorithms cover classification, clustering, statistical learning, association analysis, and link mining, which are all among the most important topics ...
Literally hundreds of papers have introduced new algorithms to index, classify, cluster and segment time series. In this work we make the following claim. Much ...
Educational Data Mining is the discovery of hidden useful knowledge and pattern in educational data concerned with studying and analyzing data from academic ...
Educational Data Mining uses many techniques such as Decision Trees, Neural Networks, Naïve. Bayes, K- Nearest neighbor, and many others. Using these techniques ...
Deep-Sea Mining (DSM)1 refers to the practice of exploiting mineral deposits from the deep seabed (400 meters to 6.5 kilometers below sea level).
Educational Data Mining is defined by Baker and Yacef31 as “an emerging discipline, concerned with developing methods for exploring the unique types of data ...
The impact of mining on surface and groundwater is due to spill/tailing, erosion, sedimentation, acid mine drainage, lowering of water table, ...
This article introduces researchers in the science concerned with developing and studying research methods, measurement, and evaluation ...
When applied to education, these approaches are referred to as learning analytics (LA) and educational data mining (EDM). This work now appears in specialized ...
Abstract. This study investigates the impact of mining activity on the environment of a local mining community.
