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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: thesis extended the mutative information and knowledge, and nailed down the conceptions of extension datamining and extension reasoning.This 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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Methodological considerations for redesigning sustainable cropping systems: the value of data-mininglarge and detailed farm data sets at the cropping system level

Nicolas MUNIER-JOLAIN, Martin LECHENET

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 1, Pages 21-27 doi: 10.15302/J-FASE-2019292

Abstract: Large data sets collected from real farms allow for the development of innovative methods to produceData mining methods allow for the diversity of systems to be considered holistically and can take intouse and their effect on farm performance, we advocate further investment in the development of large data

Keywords： data mining holistic Integrated Pest Management economics DEPHY network.

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A Survey of Tax Risk Detection Using Data Mining Techniques

Qinghua Zheng,Yiming Xu,Huixiang Liu,Bin Shi,Jiaxiang Wang,Bo Dong,

Engineering doi: 10.1016/j.eng.2023.07.014

Abstract: In recent years, tax risk detection, driven by information technology such as data mining and artificialIt then focuses on data-mining-based tax risk detection methods utilized around the world.Finally, four major technical bottlenecks of current data-driven tax risk detection methods are analyzedAfter investigating these issues, it is concluded that knowledge-guided and data-driven big data knowledge

Keywords： Tax risk detection Data mining Knowledge guide Informatization Intellectualization

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Innate immune checkpoint Siglec10 in cancers: mining of comprehensive omics data and validation in patient

Frontiers of Medicine 2022, Volume 16, Issue 4, Pages 596-609 doi: 10.1007/s11684-021-0868-z

Abstract: Siglec10 was a potential target of the transcription factors c-FOS and GATA1, which were identified by datamining.

Keywords： innate immune checkpoint Siglec10 kidney renal clear cell carcinoma

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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: First, it is very difficult to describe the complex type data by general knowledge representation methodSecond, the general structure model is constructed based on complex type data—DFSSM (discoveryDFSSM which can guide the knowledge discovery of textual data and image data (meteorological echogramdata).It will beapplied in other complex type data in future.

Keywords： complex type data data mining text mining

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A building-based data capture and data mining technique for air quality assessment

Ni SHENG, U Wa TANG

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 4, Pages 543-551 doi: 10.1007/s11783-011-0369-4

Abstract: Macau Peninsula as a case study, this paper shows the advantages of building-based model system in datacapture and data mining.resolutions of 1–2 km, the building-based approach can extract the street configuration and traffic dataThe study shows that the building-based approach may open an innovative methodology in data mining ofurban spatial data for environmental assessment.

Keywords： traffic air pollution spatial distribution high resolution geographic information system

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Shear stress distribution prediction in symmetric compound channels using data mining and machine learning

Zohreh SHEIKH KHOZANI, Khabat KHOSRAVI, Mohammadamin TORABI, Amir MOSAVI, Bahram REZAEI, Timon RABCZUK

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5, Pages 1097-1109 doi: 10.1007/s11709-020-0634-3

Abstract: A set of, data mining and machine learning algorithms including Random Forest (RF), M5P, Random Committee, KStar and Additive Regression implemented on attained data to predict the shear stress distributionFinally, the most powerful data mining method which studied in this research compared with two well-known

Keywords： compound channel machine learning SKM model shear stress distribution data mining models

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Study of operation optimization based on data mining technique in power plants

LI Jianqiang, LIU Jizhen, GU Junjie, NIU Chenglin

Frontiers in Energy 2007, Volume 1, Issue 4, Pages 457-462 doi: 10.1007/s11708-007-0067-1

Abstract: The determination of operation optimization value is very important for economic analysis and operation optimization in power plants. The operation optimization value determined by traditional methods usually cannot reflect the ac

Keywords： traditional optimization determination economic analysis important

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A review of systematic evaluation and improvement in the big data environment

Feng YANG, Manman WANG

Frontiers of Engineering Management 2020, Volume 7, Issue 1, Pages 27-46 doi: 10.1007/s42524-020-0092-6

Abstract: The era of big data brings unprecedented opportunities and challenges to management research.Exploring the applicable evaluation methods in the big data environment has become an important subjectWe first review the evaluation methods based on the main analytic techniques of big data such as datamining, statistical methods, optimization and simulation, and deep learning.Focused on the characteristics of big data (association feature, data loss, data noise, and visualization

Keywords： big data evaluation methods systematic improvement big data analytic techniques data mining

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Study on the Application of Extenics in Data Mining

Li Lixi,Li Huawen,Yang Chunyan

Strategic Study of CAE 2004, Volume 6, Issue 7, Pages 53-59

Abstract:

The application of extenics in data mining is multi-aspect, and its characteristic is to mine therule of “unable to able”.The extension method enriches the content of data mining, and providesThe extension data mining model, which is given in this article, is favorable to using existing data

Keywords： extenics extension set extension method data mining

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Survey of the Algorithms on Association Rule Mining

Bi Jianxin,Zhang Qishan

Strategic Study of CAE 2005, Volume 7, Issue 4, Pages 88-94

Abstract:

In this paper the principle of the algorithms on association rule mining is introduced firstly, andresearches of the algorithms on association rule mining are summarized in turn according to variable(dimension), abstract levels data and types of transacted variable (Boolean and Quantitative) in theprocess of data mining.

Keywords： data mining association rule algorithms survey

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Data mining diagnosis system based on rough set theory for boilers in thermal power plants

YANG Ping

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 2, Pages 162-167 doi: 10.1007/s11465-006-0017-z

Abstract: Large amounts of data in the SCADA systems databases of thermal power plants have been used for monitoringAimed at difficulties in fault diagnosis for boilers in thermal power plants, a hybrid-intelligence data-miningsystem based only on acquired data in SCADA systems is structured to extract hidden diagnosis informationThe diagnosis rules mining from SCADA systems database are expressed directly by variables in the database

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The Time Sequence Data Mining Techniques Based on Grey System Theory

Liu Bin,Liu Sifeng,Dang Yaoguo

Strategic Study of CAE 2003, Volume 5, Issue 9, Pages 32-35

Abstract:

This paper expatiates the thoughts of data mining with embedded knowledge and the techniques statusquo of data mining.Based on the thoughts and the grey system (GS) theory, it proposes the GS-based data mining method set

Keywords： grey system theories embedded knowledge time sequeke data mining GDMS forecast

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Data Mining for Mesoscopic Simulation of Electron Beam Selective Melting Article

Ya Qian, Wentao Yan, Feng Lin

Engineering 2019, Volume 5, Issue 4, Pages 746-754 doi: 10.1016/j.eng.2019.06.006

Abstract: Finally, a simulation-driven optimization framework consisting of mesoscopic modeling and data mining

Keywords： Electron beam selective melting Mesoscopic modeling Data mining

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The Use of Data Mining Techniques in Rockburst Risk Assessment

Luis Ribeiro e Sousa, Tiago Miranda, Rita Leal e Sousa, Joaquim Tinoco

Engineering 2017, Volume 3, Issue 4, Pages 552-558 doi: 10.1016/J.ENG.2017.04.002

Abstract: by these authors, a database of rockburst laboratory tests was created; in addition, with the use of datamining (DM) techniques, models to predict rockburst maximum stress and rockburst risk indexes were developed

Keywords： Rockburst Data mining Bayesian networks In situ database

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Title Author Date Type Operation

The Research of Mining the Mutative Knowledge With Extension Data Mining

Chen Wenwei

Journal Article

Methodological considerations for redesigning sustainable cropping systems: the value of data-mininglarge and detailed farm data sets at the cropping system level

Nicolas MUNIER-JOLAIN, Martin LECHENET

Journal Article

A Survey of Tax Risk Detection Using Data Mining Techniques

Qinghua Zheng,Yiming Xu,Huixiang Liu,Bin Shi,Jiaxiang Wang,Bo Dong,

Journal Article

Innate immune checkpoint Siglec10 in cancers: mining of comprehensive omics data and validation in patient

Journal Article

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

Yang Bingru,Tang Qing

Journal Article

A building-based data capture and data mining technique for air quality assessment

Ni SHENG, U Wa TANG