classifying customers using data mining algorithms, enables banks to keep old customers loyality while attracting new ones. using decision tree as a data mining technique, we can optimize customer classification provided that the appropriate decision tree is selected. in this article we have presented an appropriate model to classify customers who use internet banking service. the model is deve...

this paper discusses some of the fundamental considerations when managing mining slopes. the goal of management is to reduce all components that contribute to the geotechnical risk and by doing so reduce the risk to as low as reasonably achievable. the techniques and procedures suggested are not exhaustive; they represent a snapshot of some of the practical techniques the author has found usefu...

background: today, with the development of technology, the presence and role of human resources has been highlighted in industrial environments. hence, the importance of safety culture is growing. mining is the one of the most dangerous occupations. therefore, this study was performed to determine the effect of health, safety, and environment management system (hse-ms) on safety climate in one ...

Mining can become more sustainable by developing and integrating economic, environmental, and social components. Among the mining industries, coal mining requires paying a serious attention to the aspects of sustainable development. Therefore, in this work, we investigate the impacting factors involved in the sustainable development of underground coal mining from the structural viewpoint. For ...

Data mining is the process of discovering correlations, patterns, trends or relationships by searching through a large amount of data stored in repositories, corporate databases, and data warehouses. Industrial procedures with the help of engineers, managers, and other specialists, comprise a broad field and have many tools and techniques in their problem-solving arsenal. The purpose of this st...

process mining includes the automated discovery of petri nets from event logs. these event logs are the starting point for various discovery and analysis techniques of the process.  in this paper process model is developed using colored petri nets (cpns) and the supporting software package cpn tools. the restaurant process model is represented for the analysis using a combination of process min...

purpose: this study wants to find any relationship between the numbers of purchase and the income the customer brings to the company. the attempt is to find those customers who buy more than one life insurance policy and represent the signs of good payments at the same time by the help of data mining tools. design/ methodology/ approach: the approach of this research is to use data mining tools...

background and purpose: kidney failure reduces the kidney function and in long term it leads to chronic kidney disease. one of the main complications of this disease is irreversible damage to the kidneys (end-stage kidney disease) and hemodialysis is the main method used to treat advanced kidney failure. the main problem associated with hemodialysis is treating anemia caused by lack of erythrop...

abstract precipitation is an important variable which is used in definition of drought. based on precipitation amounts, some indices are devised for drought monitoring including, the standardized precipitation index (spi) and the standard index of annual precipitation (siap). each of these drought indices are classified into some classes so that each class descripts a given severity of drought....