The main reason for doing Data Mining is for knowledge discovery which means Data Mining finds ‘knowledge’ that is otherwise hidden by large volumes of data. When mining for hidden knowledge causes a potential security risk if the knowledge is hidden, how do we know that a security risk exists? Interesting is where the security of individual data items is not a concern, but there may be pattern...

Open-cast mining activity is causing the largest georelief transfigurations all over the World. In our conditions are affected large localities in the North-west Bohemia (the Czech Republic). In this area we focus on a very significant case of the royal town Most, where a town has been turned into a lake. The main aim of this paper is the reconstruction of the original georelief in different ti...

INTRODUCTION There is still interest in a unified methodology to quantify the mass of particulate material emitted into the atmosphere by activities inherent to open-pit mining. For the case of total suspended particles (TSP), the current practice is to estimate such emissions by developing inventories based on the emission factors recommended by the USEPA for this purpose. However, there are d...

Social media platforms provide a useful source of data for environmental planning. In the last years these data have been exploited to perform social behaviour analysis. This work uses the huge amount of georeferenced images publicly available on social media as a source of information to infer the behaviour of tourists. Visual analytic mapping tools combined with the Parzen-Rosenblatt non-para...

OBJECTIVE To identify, with the assistance of computational techniques, rules concerning the conditions of the physical environment for the classification of risk micro-areas. METHODS Exploratory research carried out in Curitiba, Southern Brazil, in 2007. It was divided into three phases: the identification of attributes to classify a micro-area; the construction of a database; and the proces...

The study evaluates associated health risks of heavy metals in the soil to inhabitants of two mining areas of Nigeria. For so doing, it collects and analyses nine homogenous soil samples for their lead, copper, cadmium, zinc, and chromium levels, using AAS. The samples are then used to calculate health risks to adults and children. For adult population in Agbaja community, the calculated hazard...

Introduction: Human activities, such as mining, result in the elevation of natural ionizing radiation in the environment. Jos-Plateau, Nigeria, including Kuru-Jos has experienced commercial tin mining in the past, and local mining is still being practiced in this area. Therefore, it is important to assess the radiation exposure due to grown crops and the farm soils in ...

The most important determinant of whether there is a radon problem is the presence of uranium and radium in the bedrock and overburden. As the permeability of the ground controls the ease with which radon can be transported, any cavity that exists underground has the potential to accumulate elevated levels of radon. Buildings built upon the ground surface have the potential to draw in ground ga...

The increase in the energy requirement of a country shows its economic advancement. Coal mining activity has increased considerably to compensate for requirements. As result, open-cast coal methods induced drastic change land use and seriously jeopardized sustainability ecosystem. Once disrupted by or underground mining, condition cannot be entirely recovered, making it non-renewable asset envi...

Distributed Data Mining (DDM) has become one of the promising areas of Data Mining. DDM techniques include classifier approach and agent-approach. Classifier approach plays a vital role in mining distributed data, having homogeneous and heterogeneous approaches depend on data sites. Homogeneous classifier approach involves ensemble learning, distributed association rule mining, meta-learning an...