The mainstream data mining faces critical challenges and lacks of soft power in solving real-world complex problems when deployed. Following the paradigm shift from ‘data mining’ to ‘knowledge discovery’, we believe much more thorough efforts are essential for promoting the wide acceptance and employment of knowledge discovery in real-world smart decision making. To this end, we expect a new pa...

This research aimed to find novel features that can be used to discriminate between speech and music in the time domain for the purpose of data retrieval. The study used speech and music data that were recorded in standard anechoic chambers and sampled at 44.1 kHz. Two types of new features were found and thoroughly examined: the Ratio of Silent Frames (RSF) feature and the Time Series Events (...

Knowledge Discovery in Databases (KDD) is the process of extracting previously unknown, hidden and interesting patterns from a huge amount of data stored in databases. Data mining is a stage of the KDD process that aims at selecting and applying a particular data mining algorithm to extract an interesting and useful knowledge. It is highly expected that data mining methods will find interesting...

This work addresses the important problem of discovery and analysis of social networks and link between frequent people observed from surveillance video footage where large amount of video data is collected routinely. A computer vision approach has been applied for detecting and extracting people within a group using HAAR classifier. This technique allows us to recognizing people by doing simil...

Face recognition/detection presents a challenging problem in the field of image analysis and computer vision, and it is becoming more popular day by day because of its applications in various domain areas. Face annotation is one of the ways for recognizing face images. Auto face annotation is playing important role in many real-world applications. Face annotation task is part of face detection ...

The process of face recognition is a subject of the research in this paper. 1430 recordings of participants eye movements while they were observing faces were analyzed statistically and various data mining techniques were used to extract information from eye movements signal. One of the findings is that the process of face recognition is different for different subjects and therefore formulatin...

The accurate calculation of mining-induced surface deformation has important guiding significance for efficient and safe production in mining areas. probability integral method (PIM) is a main prediction China, the selection its parameters directly related to accuracy To overcome shortcomings PIM other methods, this paper proposed model combining multiple regression an extreme learning machine....

A hot, dry wind envelopes a statuesque woman as she kneels over wind-sifted trays of tinbearing pulverized ore in Uis, Namibia. In Bolivia, a nine-year old girl scrambles down a steep pit wall yet again to refill her bucket of metal-rich sand. And yet another woman stokes the fire in her wood burning stove in the Philippines, releasing the mercury from doré in a poorly ventilated kitchen; the t...

In an effort to increase productivity, many longwall mining operations in the U.S. have continually increased face lengths. Unfortunately, the mining of larger panels may increase methane emissions. The National Institute for Occupational Safety and Health (NIOSH) conducted a mine safety research study to characterize and quantify the methane emissions resulting from increasing face lengths in ...