Among various types of cities, mining cities have special features including a high concentration of industrial activities associated with the exploration, extraction, refining, processing and export of groundwater resources, the risk of reduction and termination of non-renewable resources, high degree of environmental pollution, high production of domestic and industrial waste and social issue...

With the understanding that mining industry is an important and necessary part of production chain, we argue future must be sustainable responsible when responding to increasing material demands current next generations. In this paper, illustrate how concepts, such as inclusiveness circular economy, can come together in new forms mining—what call inclusive urban mining—that could beneficial for...

In recent years, with the rapid development of positioning technologies, online social networks, sensors and smart devices, large scale human behavioral data are now readily available. The growing availability of such behavioral data provides us unprecedented opportunities to gain more in depth understanding of users in both the physical world and cyber world, especially in online social networ...

As huge numbers of sensors relay real-time traffic measurements on city roads, real-time information management systems need to be in place that sieve relevant from irrelevant information. This is particularly important in mission critical applications. For example traffic operators need to be informed about potential anomalies caused by road traffic accidents or similar events in order to depl...

Solid waste is a major urban challenge worldwide and reclaiming the resources embedded in waste streams, involving organized recyclers, is a smart response to it. Informal and organized recyclers, mostly in the global south, already act as important urban miners in resource recovery. The paper describes the complex operations of recycling cooperatives and draws attention to their economic, envi...

Understanding urban population migration patterns is very helpful for urban operation and management, including the traffic forecasting, epidemic prevention, commercial resource allocation, emergency response and future urban planning. The large taxi fleet equipped with GPS comprises ubiquitous mobile probes in urban areas, and their trajectories reveal interesting phenomena in the city. We inv...

The rapid development of information and communication technologies (ICTs) has provided rich resources for spatio-temporal data mining and knowledge discovery in modern societies. Previous research has focused on understanding aggregated urban mobility patterns based on mobile phone datasets, such as extracting activity hotspots and clusters. In this paper, we aim to go one step further from id...

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...

Data Mining is such a promising technology whose worth becomes evident when it can be applied to a domain where a common man is benefited. This paper is an attempt to help the prospective students to make wise career decisions using technologies like data mining using decision trees, Naïve Bayes and artificial neural networks. A student enters his Entrance Rank, Gender (M/F), Sector (rural/urba...