This study uses a vector autoregression (VAR) model to analyze changes in pollutants among different mining industries and related policy in China from 2001 to 2014. The results show that: (1) because the pertinence of standards for mining waste water and waste gas emissions are not strong and because the maximum permissible discharge pollutant concentrations in these standards are too high, am...

This study clusters customers and finds the characteristics of different groups in a life insurance company in order to find a way for prediction of customer behavior based on payment. The approach is to use clustering and association rules based on CRISP-DM methodology in data mining. The researcher could classify customers of each policy in three different clusters, using association rules. A...

The capital-intensive production function of mining tends to limit backward, forward and final demand linkages. Moreover, the impact of the capital intensity constraint on backward linkage is reinforced by the existence of localization economies for input supplies. These constraints on linkage are stronger the remoter the mine location, the earlier the stage in the mining cycle and the lower th...

In the mining sector, the barrier to obtain an efficient safety management system is the unavailability of future information regarding the accidents. This paper aims to use the auto-regressive integrated moving average (ARIMA) model, for the first time, to evaluate the underlying causes that affect the safety management system corresponding to the number of accidents and fatalities in the surf...

This report documents the program and the outcomes of Dagstuhl Seminar 12331 “Mobility Data Mining and Privacy”. Mobility data mining aims to extract knowledge from movement behaviour of people, but this data also poses novel privacy risks. This seminar gathered a multidisciplinary team for a conversation on how to balance the value in mining mobility data with privacy issues. The seminar focus...

Previous research has documented increased lung cancer incidence and mortality in Appalachia. The current study tests whether residence in coal-mining areas of Appalachia is a contributing factor. We conducted a national county-level analysis to identify contributions of smoking rates, socioeconomic variables, coal-mining intensity and other variables to age-adjusted lung cancer mortality. Resu...

By international standards the economy of South Africa is extremely energy intensive with only a few countries having higher intensities. SA’s primary energy use per unit of GDP is amongst the highest in the world The high energy and electricity intensity of the economy partly reflects SA’s resource endowments (in particular the abundance of coal) but is also a function of the historical under-...