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Using Text Mining to Evaluate the China Manufacturing Regional Action Plan

Kong Dejing  Dong Fang  Li Zhaofu  Qu Xianming

Strategic Study of CAE 2017, Volume 19, Issue 3,   Pages 149-158 doi: 10.15302/J-SSCAE-2017.03.021

Abstract:

Guidelines for the implementation of the China Manufacturing Regionaldocuments based on Chinese word segmentation, feature extraction, and similarity calculation using textmining, which can help to analyze a large number of policy documents efficiently.

Keywords： regional action plan     text mining     similarity calculation    

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The Research of Discovery Feature Sub-space Model (DFSSM) Based on Complex Type Data

Yang Bingru,Tang Qing

Strategic Study of CAE 2003, Volume 5, Issue 1,   Pages 56-61

Abstract:

This paper discusses the macroscopic and important problem in the field of KDD. First, it is very difficult to describe the complex type data by general knowledge representation method. So the authors use pattern, which is defined as the vector in Hilbert Space, to represent the characteristic of complex type data. It also can be used to describe the rule of knowledge discovery. Second, the general structure model is constructed based on complex type data—DFSSM (discovery feature sub-space model ) following by the research on inner mechanism of knowledge discovery system. At last, the authors prove the practicability and validity of this general structure model i. e. DFSSM which can guide the knowledge discovery of textual data and image data (meteorological echogram data). It will beapplied in other complex type data in future.

Keywords： complex type data     data mining     text mining    

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Intelligent Petroleum Engineering Perspective

Mohammad Ali Mirza, Mahtab Ghoroori, Zhangxin Chen

Engineering 2022, Volume 18, Issue 11,   Pages 27-32 doi: 10.1016/j.eng.2022.06.009

Abstract:

Data-driven approaches and AI algorithms are promising enough to be relied on even more than physics-based methods; their main feed is data which is the fundamental element of each phenomenon. These algorithms learn from data and unveil unseen patterns out of it. The petroleum industry as a realm where huge volumes of data are generated every second is of great interest to this new technology. As the oil and gas industry is in the transition phase to oilfield digitization, there has been an increased drive to integrate data-driven modeling and machine learning algorithms in different petroleum engineering challenges. ML has been widely used in different areas of the industry. Many extensive studies have been devoted to exploring AI applicability in various disciplines of this industry; however, lack of two main features is noticeable. Most of the research is either not practical enough to be applicable in real-field challenges or limited to a specific problem and not generalizable. Attention must be given to data itself and the way it is classified and stored. Although there are sheer volumes of data coming from different disciplines, they reside in departmental silos and are not accessible by consumers. In order to derive as much insight as possible out of data, the data needs to be stored in a centralized repository from where the data can be readily consumed by different applications.
 

Keywords： Artificial intelligence     Machine learning     Intelligent reservoir engineering     Text mining     Intelligent    

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Topicmodeling for large-scale text data

Xi-ming LI,Ji-hong OUYANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 457-465 doi: 10.1631/FITEE.1400352

Abstract: This paper develops a novel online algorithm, namely moving average stochastic variational inference (MASVI), which applies the results obtained by previous iterations to smooth out noisy natural gradients. We analyze the convergence property of the proposed algorithm and conduct a set of experiments on two large-scale collections that contain millions of documents. Experimental results indicate that in contrast to algorithms named ‘stochastic variational inference’ and ‘SGRLD’, our algorithm achieves a faster convergence rate and better performance.

Keywords： Latent Dirichlet allocation (LDA)     Topic modeling     Online learning     Moving average    

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A new feature selection method for handling redundant information in text classification None

You-wei WANG, Li-zhou FENG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 2,   Pages 221-234 doi: 10.1631/FITEE.1601761

Abstract: Feature selection is an important approach to dimensionality reduction in the field of text classificationStatistical results validate the effectiveness of the proposed method in handling redundant information in text

Keywords： Feature selection     Dimensionality reduction     Text classification     Redundant features     Support vector machine    

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Frontiers in Personless Mining and Avenues of Their Advancement in China

Li Zhongxue,Li Cuiping,Liu Shuangyue

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 16-20

Abstract:

With the rapid social and economic development in China,  technologydepth and other adverse conditions confronted by the mining industries,  increase the efficiencyof extracting mineral resources,  and safeguard the safety and health of mining workers.to enhance technology innovations in personless mining and provide the mining industries with a freshperspective to personless mining.

Keywords： hard-rock mining     automated mining     personless mining     personless mine    

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The Research of Mining the Mutative Knowledge With Extension Data Mining

Chen Wenwei

Strategic Study of CAE 2006, Volume 8, Issue 11,   Pages 70-73

Abstract: extended the mutative information and knowledge, and nailed down the conceptions of extension data miningThis thesis also attested two theorems of the extension data mining and the formula of the extensionThe author put forward the extension data mining which extended from mining the static knowledge to miningSo it exploited a new aspect of data mining, and illuminated it by examples.

Keywords： extension information     extension knowledge     extension data mining     extension reasoning    

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Recent Science and Technology Frontier for Exploitation of Underground Metal Resources

Yu Runcang

Strategic Study of CAE 2002, Volume 4, Issue 9,   Pages 8-11

Abstract:

With the development of rockmechanics, extensive application of computer in mining area and promotionby intersection of multi-course, mining starts entering the science field, being regarded as skill alwaysand technology at the frontier for exploitation of underground metal resources： digital control of miningenvironment, wasteless mining, ocean mining and coping with threat of rockburst in deep mining, thatare of great importance to the development of mining course.

Keywords： mining     metal resource     digital control of mining environment     wasteless mining    

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Technology Development and Engineering Practice for Protection and Utilization of Water Resources in Coal Mining

Da-zhao Gu

Frontiers of Engineering Management 2016, Volume 3, Issue 1,   Pages 59-66 doi: 10.15302/J-FEM-2016010

Abstract: as “the Western Area”) are major coal-producing areas in China due to rich coal resources and good miningThe surface evaporation is huge and a great amount of mine water generated in coal mining is evaporatedIn order to protect and utilize the water resources during large-scale coal mining in the Western AreaThe technology is also extended to other western mining areas, providing an effective path for harmonicmining of coal and water resources in western China.

Keywords： Western Mining Area     coal mining     water resources     coal mine underground reservoirs    

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Driving Factors of Green Mining in Coal Mining Enterprises in China

Lin-xiu Wang,Mu-xi Yu,Si-jia Wang

Frontiers of Engineering Management 2015, Volume 2, Issue 3,   Pages 211-223 doi: 10.15302/J-FEM-2015043

Abstract: This study constructs a Green Mining model based on identification and analysis of the four key drivingfactors of Green Mining in coal mining enterprises in China.The result shows that four key factors affect the intended implementation of Green Mining by improvingThe diffusion of Green Mining technology has direct positive influence on the intended Green Mining implementationFour Green Mining incentive policies are raised to regulate and motivate the coal mining enterprises

Keywords： Green Mining     driving factor     Structural Equation Model     empirical study    

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Energy and Mining Engineering Front 2019

Energy and Mining Engineering  Project Team

Engineering Fronts 2019, Volume 3, Issue 1,   Pages 73-102

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Energy and Mining Engineering Front 2022

Energy and Mining Engineering Project Team

Engineering Fronts 2022, Volume 6, Issue 1,   Pages 92-123

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Digital Mine Research and Practice Based on Mining and Metallurgy System Engineering

An-lin Shao

Frontiers of Engineering Management 2016, Volume 3, Issue 1,   Pages 67-73 doi: 10.15302/J-FEM-2016006

Abstract: Ansteel mining has created “grade decision-based multi-system integration” mode of mining and metallurgy

Keywords： exploration of lean iron ore     mining and metallurgy system engineering     digital mine     wisdom mine    

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––Case of mining enterprises

Anlin SHAO

Frontiers of Engineering Management 2017, Volume 4, Issue 3,   Pages 375-378 doi: 10.15302/J-FEM-2017108

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Title Author Date Type Operation

Using Text Mining to Evaluate the China Manufacturing Regional Action Plan

Kong Dejing  Dong Fang  Li Zhaofu  Qu Xianming

Journal Article

The Research of Discovery Feature Sub-space Model (DFSSM) Based on Complex Type Data

Yang Bingru,Tang Qing

Journal Article

Intelligent Petroleum Engineering

Mohammad Ali Mirza, Mahtab Ghoroori, Zhangxin Chen

Journal Article

Topicmodeling for large-scale text data

Xi-ming LI,Ji-hong OUYANG

Journal Article

Yang Chengqi: Research on Big Data of Energy and Environmental Protection Policies Based on Text Mining

19 May 2022

Conference Videos

A new feature selection method for handling redundant information in text classification

You-wei WANG, Li-zhou FENG

Journal Article

Frontiers in Personless Mining and Avenues of Their Advancement in China

Li Zhongxue,Li Cuiping,Liu Shuangyue

Journal Article

The Research of Mining the Mutative Knowledge With Extension Data Mining

Chen Wenwei

Journal Article

Recent Science and Technology Frontier for Exploitation of Underground Metal Resources

Yu Runcang

Journal Article

Technology Development and Engineering Practice for Protection and Utilization of Water Resources in Coal Mining

Da-zhao Gu

Journal Article

Driving Factors of Green Mining in Coal Mining Enterprises in China

Lin-xiu Wang,Mu-xi Yu,Si-jia Wang

Journal Article

Energy and Mining Engineering Front 2019

Energy and Mining Engineering  Project Team

Journal Article

Energy and Mining Engineering Front 2022

Energy and Mining Engineering Project Team

Journal Article

Digital Mine Research and Practice Based on Mining and Metallurgy System Engineering

An-lin Shao

Journal Article

––Case of mining enterprises

Anlin SHAO

Journal Article