نتایج جستجو برای: mining engineering

تعداد نتایج: 345613  

2015
M Vijaya Kamal P Srikanth Vasumathi

Web mining plays vital role in day-to-day applications to improve intelligence of web in the context of business must be able to identify useful business intelligence. To achieve our model in web engineering, we are using mining techniques for next generation business intelligence development. In this research our approach identifies the weblogs error reports using comprehensive algorithms, app...

2017
Shu-ren Wang Sheng-nan He Chun-yang Li Wen-fa Yan Zheng-sheng Zou

Original scientific paper Mining near the fault structure can easily lead to the fault activity and induce serious geological disasters, posing a serious threat to coal mine safety production. To reveal the surrounding rock activity characteristics induced by near-fault mining, taking Qixing Coal Mine in China as the engineering background, the contrastive analysis of the microseismic events in...

2001
Lígia M. Ribeiro Maria Antónia Carravilla Gabriel David

FEUP presents a departmental structure, composed of six areas, Civil Engineering, Chemical Engineering, Electrical Engineering and Computers, Mechanical Engineering and Industrial Management, Mining Engineering, Metallurgical Engineering and Materials. To support the activities of these departments and of the Faculty as a whole there are several central services, including the Computer Centre, ...

Journal: :Advanced Engineering Informatics 2014
Lars Gräning Bernhard Sendhoff

Although the integration of engineering data within the framework of product data management systems has been successful in the recent years, the holistic analysis (from a systems engineering perspective) of multi-disciplinary data or data based on different representations and tools is still not realized in practice. At the same time, the application of advanced data mining techniques to compl...

Journal: :IEEE-RITA 2010
Alvaro Garcia-Piquer Albert Fornells Elisabet Golobardes Laia Cugota Florejachs

—Nowadays the successful acquisition of competences is the base for the achievement of the professional skills and, consequently, the educational methodologies need to be reconsidered. This work describes a methodological procedure proposed to help educational experts to assess if the competences developed in a degree program are really acquired by the student. Due to the huge amount of informa...

Journal: :CoRR 2011
Ashraf Sadat Jabari Mohammad Reza Keyvanpour

Department of Computer Engineering, Alzahra University, Tehran, Iran [email protected] Abstract : Scene mining is a subset of image mining in which scenes are classified to a distinct set of classes based on analysis of their content. In other word in scene mining, a label is given to visual content of scene, for example, mountain, beach. Scene mining is used in applications such as medi...

Journal: :Inf. Soc. 2010
Juan D. Velásquez Pablo González

Expanding the Possibilities of Deliberation: The Use of Data Mining for Strengthening Democracy with an Application to Education Reform Juan D. Velásquez a; Pablo González b a Department of Industrial Engineering, School of Engineering and Science, University of Chile, Santiago, Región Metropolitana, Chile b Center for Applied Economics, Department of Industrial Engineering, School of Engineeri...

Journal: :International Journal of Coal Science & Technology 2023

Abstract Ocean mining activities have been ongoing for nearly 70 years, making great contributions to industrialization. Given the increasing demand energy, along with restructuring of energy supply catalyzed by efforts achieve a low-carbon economy, deep seabed will play an important role in addressing energy- and resource-related problems future. However, remains exploratory stage, many challe...

Swarm Intelligence (SI) is an innovative artificial intelligence technique for solving complex optimization problems. Data clustering is the process of grouping data into a number of clusters. The goal of data clustering is to make the data in the same cluster share a high degree of similarity while being very dissimilar to data from other clusters. Clustering algorithms have been applied to a ...

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