a few years after the implementation of computerize maintenance management systems (cmms), showing the analysis results of the collected data in these systems is necessary and important for continuing the usage of these systems. equipment downtime and cost data can identify patterns of equipment faults and equipment costs. it can also show deficiencies in the implementation of maintenance syste...

Data mining aims at extracting useful information from large datasets. Most data mining approaches reduce the input data to produce a smaller output summarizing the mining result. While the purpose of data mining (extracting information) necessitates this reduction in size, the loss of information it entails can be problematic. Specifically, the results of data mining may be more confusing than...

in despite of all progress in technology in mining industry, still labor is one of the key factors in mining operation. this paper presents a system dynamics approach to evaluate the mining labor productivity. therefore, after the identification of main effective variables, two quantitative and qualitative models were built. the qualitative model illustrates the complex interrelated structure o...

web is a great source of information and knowledge, where a numerous of users find their interest. The data available is in form of structured (relational) and text data. Therefore, different kinds of data model can be implementable with web data for pattern discovery. Web mining is a data mining tool where the web related data is evaluated for pattern discovery and user navigation pattern. Add...

A Virtual Observatory (VO) will enable transparent and efficient access, search, retrieval, and visualization of data across multiple data repositories, which are generally heterogeneous and distributed. Aspects of data mining that apply to a variety of science user scenarios with a VO are reviewed. 1 Science Requirements for Data Mining What is data mining and why is applicable to scientific r...

During the last decades, applications of data mining techniques have been receiving increasing attention from the researchers and computer professionals (J. Luo, et al, 2007). Data mining on localized computer environments no longer meets the demands of solving today’s complex scientific and industrial problems because of the huge amount of data that is stored in geographically distributed worl...