Sustainable land use in post-mining areas has received more attention only recently. This study examined landscape characteristics and post-mining land use in 51 metal mining sites in Finland. Studied mines were closed during the period of 1924–2016, and over half of them had been active more than 10 years. Mines were typically located in sparsely populated forest landscapes. Cultural and recre...

Occupational injuries and ill-health have huge social and economic implications for individuals, their families and their communities. They also have economic impacts in the form of direct and indirect costs for society as a whole. Total costs of occupational accidents and disease have been estimated at between 1 and 3 per cent of GDP in various countries1,2. Direct costs include compensation c...

Predicting the locations of future surface coal mining in Appalachia is challenging for a number of reasons. Economic and regulatory factors impact the coal mining industry and forecasts of future coal production do not specifically predict changes in location of future coal production. With the potential environmental impacts from surface coal mining, prediction of the location of future activ...

This paper explains how text mining was used within the context of a research project on social dialogue regimes, jointly undertaken by the University of Geneva, the University of Lyon 2 and the International Institute of Labour Studies of the International Labour Organisation (ILO). The research project, which was made possible through the generous support of the Geneva International Academic ...

In this paper, we develop a decision-theoretic framework for evaluating data mining systems, which employ classification methods, in terms of their utility in decision-making. The decision-theoretic model provides an economic perspective on the value of “extracted knowledge,” in terms of its payoff to the organization, and suggests a wide range of decision problems that arise from this point of...

The implementation of data mining techniques in the medical area has generated great interest because of its potential for more efficient, economic and robust performance when compared to physicians. In this paper, we focus on the implementation of Multiple-Instance Learning (MIL) in the area of medical image mining, particularly to hard exudates detection in retinal images from diabetic patien...

OBJECTIVE To determine the predictive value of coal mining and other risk factors for explaining disproportionately high mortality rates across Appalachia. METHOD Mortality and covariate data were obtained from publicly available databases for 2000 to 2004. Analysis employed ordinary least square multiple linear regression with age-adjusted mortality as the dependent variable. RESULTS Age-a...

The healthcare sector is currently facing both the economic necessity and the technical opportunity of a data based approach to quality management. Against this background, we introduce a process model for a data based medical quality management and apply intelligent data mining methods to patient data. Intelligent data mining incorporates advantages of both knowledge acquisition from data and ...