Mining method selection is among the most critical and problematic points in mining engineering profession. Choosing a suitable method for a given ore-body is very important for the economics, safety and the productivity of the mining work. In the past studies there are attempts to build up a systematic approach to help the engineers to make this selection. But, these approaches work based on s...

Business process re-engineering and data mining are currently popular discussion topics in business and industrial environments. One main area for discussion is how organisations can be prepared to facilitate data mining technologies appropriately. Based on the two main phases on business process reengineering, the data mining process, and the involved expertise respectively, a synthesis of bot...

Department of Computer Science & Engineering/Shriram College of Engineering & Management [SRCEM] Banmore, Gwalior (MP)/India, 474003 _______________________________________________________________________________________ Abstract: Data mining is sorting through data to identify patterns and establish relationships. Association rule mining is a well established method of data mining that identif...

In the development process of the information of the mining engineering, it is difficult to directly exchange and share information in the different phases and different application system, which causes the information isolation and information gap due to lack of unified data exchange standards and information integration mechanism. The purpose of this research is to build a modeling framework ...

Bio-inspired optimization algorithms have been successfully used to solve many problems in engineering, science, and economics. In computer science bio-inspired optimization has different applications in different domains such as software engineering, networks, data mining, and many others. One of the main tasks in data mining is clustering, namely k-means clustering. Distance metrics are at th...

Hongzhi Wang 1, Dongsheng Zhang 2,*, Xufeng Wang 1 and Wei Zhang 3 1 School of Mines, China University of Mining and Technology, Xuzhou 221116, China; [email protected] (H.W.); [email protected] (X.W.) 2 State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou 221116, China 3 IoT Perception Mine Research Center, National and Local Joint ...

Semantic Web Mining can be considered as Data Mining (DM) for/from the Semantic Web. Current DM systems could serve the purpose of Semantic Web Mining if they were more compliant with, e.g., the standards of representation for ontologies and rules in the Semantic Web and/or interoperable with well-established tools for Ontological Engineering (OE) that support these standards. In this paper we ...

expert discovery is a quest in search of finding an answer to a question: “who is the best expert of a specific subject in a particular domain within peculiar array of parameters?” expert with domain knowledge in any field is crucial for consulting in industry, academia and scientific community. aim of this study is to address the issues for expert-finding task in real-world community. collabor...

1,2 Department of Computer Engineering 1,2 Ipcowala Institute of Engineering & Technology, Dharmaj, Anand, Gujarat, India 388430 Abstract— Nowadays, banking frauds like money laundering becomes more and more sophisticated. Money laundering is a process by which legally obtained funds are given the appearance of having been legally obtained. There are various techniques for detecting the differe...

Software product line engineering is an efficient means to generate a set of tailored software products from a common implementation. However, adopting a product-line approach poses a major challenge and significant risks, since typically legacy code must be migrated toward a product line. Our aim is to lower the adoption barrier by providing semiautomatic tool support—called variability mining...