One of the rare consensus among the different resources-base economic analytical approaches concerns to the strategic role of the mineral rent, as a decisive tool to assure that the temporary wealth generated in the present can turn into permanent income in the future. For this reason, the evaluation, distribution and use of the mining rent plays a central part in the mining city’s development ...

Manganese nodules on deep ocean floor have received attention as future resources for Co, Ni, Cu, and Mn these 40 years. The mining and metallurgical processing technologies studied these 40 years have been reviewed and re-examined on the basis of current interests, technologies, and economies by the author. The preliminary results of economic evaluation at the three timings, such as the last 1...

Data mining is used now days by companies with a strong consumer focus. It enables these companies to know the relationships among "internal" factors such as, product positioning, price or staff skills, and "external" factors such as indicators, economic, competition, and customer demographics. The overall aim of the data mining process is to extract information from a data set and transform it...

The purpose of this study was to investigate the relationship between community-level exposure to changes in economic conditions and the incidence and prevalence of mental disorders and cardiovascular disease in 29 resource-based communities (with a focus on mining communities) in British Columbia (BC) during a period of time marked by an economic downturn (1991–2002) The investigation relied o...

A method for extracting new implicit knowledge from ontologies by using an inductive/deductive approach is presented. The new extracted knowledge takes the form of If-Then rules annotated with a weight. Such rules, termed Influence Rules, specify how the values of the properties bound to a collection of concepts may influence the values of the properties of another concept.The technique, that c...

Data mining involves the use of sophisticated machine learning algorithms to uncover fundamental patterns in the data. With the unprecedented rate at which data is being collected today in almost all fields of human Endeavour, there is an emerging economic and scientific need to extract useful information from it . Data mining is the process of automatic or semi-automatic discovery of patterns ...