The induction of knowledge from a data set relies in the execution of multiple data mining actions: to apply filters to clean and select the data, to train different algorithms (clustering, classification, regression, association), to evaluate the results using different approaches (cross validation, statistical analysis), to visualize the results, etc. In a real data mining process, previous a...

The increase in world population and the expected global development of economy after COVID-19 pandemic will continue to impose unprecedented pressure on securing supply minerals. World Bank report “Minerals for Climate Action: Mineral Intensity Clean Energy Transition” finds that production minerals such as graphite, lithium cobalt could by nearly 500% 2050, meet growing demand clean energy te...

This paper presents a distributed architecture for automating data mining processes using standard languages. Data mining is a difficult task that relies on an exploratory and analytic process of processing large quantities of data in order to discover meaningful patterns. The increasing heterogeneity and complexity of available data requires some expert knowledge on how to combine the multiple...

Theoretical review of ‘mining pit lakes’ indicates that like natural lakes such lakes display a huge diversity. They are typically in a non-equilibrium state with respect to their surroundings. Hence, at the decommissioning phase of mining operation a detailed technical study are required on different aspects of such created water bodies considering its morphometry, geology, hydrology, water qu...

This paper is a progress report of an effort whose goal is to demonstrate the effectiveness of automated data mining and planning for the daily management of Earth Science missions. Currently, data mining and machine learning technologies are being used by scientists at research labs for validating Earth science models. However, few if any of these advanced techniques are currently being integr...

This paper describes the initial stage of an effort the goal of which is to demonstrate the effectiveness of automated data mining, learning and planning for the daily management of Earth Science missions. Currently, data mining and machine learning technologies are being used by scientists at research labs for validating Earth science models. However, few if any of these advanced techniques ar...