Mining Methods Kang

Kang's research utilizes quantitative modeling and data science, such as structural equation modeling, multi-dimensional scale development, data mining, and big data analytics. Her research has been published in such journals as Journal of Business Ethics, Journal of Environmental Psychology, Journal of Cleaner Production, Corporate Social ...

mining techniques that can derive semantics from textual data sets (Kang et al., 2013; Tuarob & Tucker, 2014; Tucker & Kang, 2012; Tucker & Kim, 2011). In order to

Ionic rare earth mining is of strategic importance in China; however, the heavy metal pollution it causes is of great concern, both at home and abroad. Data on Pb speciation at a rare earth mine were used to analyse the migration capacity of Pb during the process of ore leaching. The major factors thought to influence the migration capacity of Pb, including the clay mineral content, soil pH ...

Hongpu Kang. Shear failure is a common failure mechanism in underground coal mine roadways. This paper presents an innovative numerical approach to simulate shear failure of a coal mine roadway ...

mining - mining - Underground mining: When any ore body lies a considerable distance below the surface, the amount of waste that has to be removed in order to uncover the ore through surface mining becomes prohibitive, and underground techniques must be considered. Counting against underground mining are the costs, which, for each ton of material mined, are much higher underground than on the ...

We review the current state of data mining and machine learning in astronomy. Data Mining can have a somewhat mixed connotation from the point of view of a researcher in this field. If used correctly, it can be a powerful approach, holding the potential to fully exploit the exponentially increasing amount of available data, promising great scientific advance.

three surface mining techniques that are used in the West: 1) area strip, 2) open pit, and 3) terrace pit; two methods of underground mining in the West: 1) room and pillar with contin-uous miners, and 2) longwall mining; recent underground mining technology developments in Europe and the West-ern United States that could affect the

Sep 01, 2016· Kang Liu is an associate professor in the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences. His primary research focus is opinion mining, information extraction, and machine learning. Liu's e-mail address is [email protected].

W. Kang et al. ∞ hnn 7hnhce cnScdh ... Data mining techniques have also been used to determine the correlations between input and output variables, as well as in identifying rules or trends based on the charac-teristics of the data. Several studies have adopted data mining to develop ...

o Applied data mining techniques to data entry problem which demonstrated potential labor cost savings of 50% o Created and presented executive data dashboards to show the analytic and business

Jan 05, 2021· The roof of the 2233 working face was glutenite, which is relatively thick and hard. It adopted the inclined mining method and the mining area was 700 m × 200 m. The north of the working face was 2132 and 2232 goafs, the original coal mass on the south, the 126-mining area uphill system to the west and the Ping'an No. 2 fault to the east.

Aug 09, 2017· The rising demand for sustainable smart buildings is increasing the need to come up with an effective decision-making method for building energy usage management. Simulating energy usage data through advanced technologies like Building Information Modeling (BIM) has become possible of late, and data-mining methods that use various data types (e.g., BIM, energy simulation, sensor, and …

The proposed method mainly includes: (1) A self-selective model with a negative samples mining method which effectively reduces the boundary effect in strengthening the classification ability of the classifier at the same time; (2) a bounding box regression method combined with a key points matching method for the scale prediction, leading to a ...

Professor Kang Li. Professor Li received PhD Degree in Control Theory and Applications from Shanghai Jiaotong University in 1995, and honorary DSc degree from Queen's University Belfast in 2015 for his work on nonlinear system identification. Between 1995 and 2002, he worked at Shanghai Jiaotong University, Delft University of Technology and ...

The methods of attribute extraction can be divided into the statistic-based methods and rule-based methods (Fan et al., 2020). The main statistic-based methods are the association rule mining ( Kangale et al., 2016 ), the hidden Markov model ( Wong & Wai Lam, 2005 ), the conditional random fields ( Wong & Lam, 2008 ), and the Latent Dirichlet ...

This video provides a basic description of the longwall mining method for extracting coal underground. It includes an explanation of the different products/...

Byeong Ho Kang This paper explores the feasibility of implementing a model for an open domain, automated question and answering framework that leverages Wikipedia's knowledgebase.

U. Kang, E. Papalexakis, A. Harpale, and C. Faloutsos, "Gigatensor: scaling tensor analysis up by 100 times-algorithms and discoveries," in Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, 2012, pp. 316-324.

EECS 598: Special Topics, Fall 2015 Graph Mining and Exploration at Scale: Methods and Applications Graphs naturally represent information ranging from links between webpages to friendships in social networks, to connections between neurons in our brains. ...

Common Ground

Mission 2016's plan will increase recycling efforts, greener mining and refining techniques, reduce the cost of environmental damage on the surrounding community, and increase government involvement in the regulation of dirty mining practices. Betournay, M. …

Jan 09, 2016· Surface Mining methods (Open pit Mining method) 2 February 2016 Prof. Dr. H.Z. Harraz Presentation Mining Methods, Surface mining Figure shows Open pit Mining method 9. open pit mining: funnel shaped hole in ground, with ramp spiraling down along sides, allows moderately deep ore to be reached.

Data Mining Methods can be taken for academic credit as part of CU Boulder's Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder's departments of Applied Mathematics, Computer Science, Information Science, and others.

Sep 29, 2021· Almonty Industries would like to congratulate Donghoon Kang, Almonty Korea Tungsten Corporation's Mine Development Officer, who led a team of Seoul National University graduate students, and was awarded the Korea Resources Recycling Association President's Award at the 2021 Mine-Tech Festa contest. The event was held by Korea Resources Corporation (KORES), an energy and natural …

Kang et al. proposed a deep sequence-to-sequence method for aircraft landing ground speed sequence prediction. In [ 25 ], a hybrid model is proposed by Xu et al. who combined deep belief network and linear regression for time series data forecasting.

Featured Publications. S. Kosaraju*, J. Hao, H. Koh †, and M. Kang †, "Deep-Hipo: Multi-scale Receptive Field Deep Learning for Histopathological Image Analysis", Methods, 2020 [Source code] J. Hao*, S. Kosaraju*, N. Tsaku, D. H. Song, and M. Kang †, "PAGE-Net: Interpretable and Integrative Deep Learning for Survival Analysis Using Histopathological Images and Genomic Data", Pacific ...

Sep 15, 2012· Highlights In order to determine how data mining techniques (DMT) and their applications have developed in the past decade. This paper reviews data mining techniques and their applications and development from 2000 to 2011. Keywords were used to identify 216 articles concerning DMT applications, from 159 academic journals. A discussion deals with the direction of any future …

information: a survey of methods Shashi Shekhar, Michael R. Evans, James M. Kang and Pradeep Mohan Explosive growth in geospatial data and the emergence of new spatial technolo-gies emphasize the need for automated discovery of spatial knowledge. Spatial data mining is the process of discovering interesting and previously unknown,

Factorization Techniques By YUNYI KANG Thesis Advisor: Prof. Myong K. Jeong Anomaly detection is becoming an important problem in graph mining. This is because people are eager to find out unusual objects or patterns in a network, which may results in possible damages, emerging trends, or even creations in different types of graphs or

Process Mining-based Understanding and Analysis of IT's Incident and Problem Management Processes The BPI Challenge 2013 Chang Jae Kang2, Young Sik Kang*,1, Yeong Shin Lee1, Seonkyu Noh, Hyeong Cheol Kim, Woo Cheol Lim, Juhee kim and Regina Hong