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...

Efficient resource management is a critical success factor for all businesses. Correct insights into actual profiles, i.e. groups of resources performing similar activity instances, important successful knowledge and (human) management. To this end, organisational mining, subfield Process Mining, focuses on techniques to extract such profiles from event logs. However, existing ignore contextual...

There are several approaches in trying to solve the Quantitative 1Structure-Activity Relationship (QSAR) problem. These approaches are based either on statistical methods or on predictive data mining. Among the statistical methods, one should consider regression analysis, pattern recognition (such as cluster analysis, factor analysis and principal components analysis) or partial least squares. ...

Crisis management is an increasingly important activity of management. Organizations’ critical crises can induce severe consequences or even disasters if wrong decisions are made. The World Wide Web provides an unprecedented freedom for the public to discuss one’s opinions which impact much on the progress of the crisis. Based on the study of web mining and its relative techniques, a combined w...

Human verification and activity analysis (HVAA) are primarily employed to observe, track, monitor human motion patterns using red-green-blue (RGB) images videos. Interpreting interaction RGB is one of the most complex machine learning tasks in recent times. Numerous models rely on various parameters, such as detection rate, position, direction body components images. This paper presents robust ...