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Symbolic representation based on trend features for knowledge discovery in long time series

Hong YIN,Shu-qiang YANG,Xiao-qian ZHU,Shao-dong MA,Lu-min ZHANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 9, Pages 744-758 doi: 10.1631/FITEE.1400376

Abstract: effectively is an essential task for decision-making activities such as classification, prediction, and knowledgediscovery.A time series is represented by trend symbols, which are also suitable for use in knowledge discoveryonly has better segmentation efficiency and classification accuracy, but also is applicable for use in knowledgediscovery from time series.

Keywords： Long time series Segmentation Trend features Symbolic Knowledge discovery

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Research on the Structure Model and Mining Algorithm for Knowledge Discovery Based on Knowledge Base

Yang Bingru,Shen Jiangtao,Chen Hongjie

Strategic Study of CAE 2003, Volume 5, Issue 6, Pages 49-54

Abstract:

Knowledge discovery in knowledge base (KDK) is a brand-new task.Its success will directly act on the construction of large knowledge base, and, at present, it is importantto the solving of the bottleneck of machine study—discovering knowledge.The main work of this paper is： The inductive structure of KDK based on the facts in knowledge base,algorithm and experimental verification; The inductive structure algorithm of KDK for the rules in knowledge

Keywords： knowledge discovery based on knowledge base induction logic of Carnap induction logic of L. J.

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The construction methodology of knowledge discovery system framework and theoretical system

Yang Bingru

Strategic Study of CAE 2011, Volume 13, Issue 9, Pages 83-91

Abstract:

The mainstream of development in knowledge discovery is researching onIn fact, the research of process model and inner mechanism reflecting the law of knowledge discoveryThis paper proposed a new independent knowledge discovery system framework, which combines those threediscovery) construction methodology can substantively involve domain knowledge long unresolved into"the solution to these important issues such as knowledge discovery process" and "dynamic

Keywords： double-collaborative mechanism process model-KDD* Maradbcm system framework-MMAKDS theoretical system-KDTICM

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Five important issues in the present field of knowledge discovery

Yang Bingru

Strategic Study of CAE 2009, Volume 11, Issue 4, Pages 76-83

Abstract: justify;">In this paper, the author summarized and proposed five important issues in the present field of knowledgediscovery and data mining, which comprise two important core issues, two conjectures, challenge issuesmainstream development, important issues of relevant fields in appliance research and technique standard in knowledgediscovery (data mining).Some achievements and special analysis was also presented.Those five issues correlate closely, and these researches will push the development of knowledge discovery

Keywords： important core issues in KD conjectures in KD challenge issues in KD protein secondary structure prediction technique standard in KD

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A Product Process Adaptive Design Method Based on Manufacturing-Related Big Data

Wei Wei, Chen Zheng, Yuan Jun

Strategic Study of CAE 2020, Volume 22, Issue 4, Pages 42-49 doi: 10.15302/J-SSCAE-2020.04.017

Abstract: To this end, a product process adaptive design model “data + knowledge + decision” is proposedThis research reveals that manufacturing related big data contains rich knowledge and patterns and thus

Keywords： product process adaptive design manufacturing-related big data data mining knowledge discovery

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HIGH-PERFORMANCE COMPUTATION AND ARTIFICIAL INTELLIGENCE IN PESTICIDE DISCOVERY: STATUS AND OUTLOOK

Frontiers of Agricultural Science and Engineering 2022, Volume 9, Issue 1, Pages 150-154 doi: 10.15302/J-FASE-2021419

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Standard model of knowledge representation

Wensheng YIN

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3, Pages 275-288 doi: 10.1007/s11465-016-0372-3

Abstract:

Knowledge representation is the core of artificial intelligence research.To establish the intrinsic link between various knowledge representation methods, a unified knowledgeThis knowledge representation method is not a contradiction to the traditional knowledge representationIt can express knowledge in terms of multivariate and multidimensional.and inconsistent knowledge.

Keywords： knowledge representation standard model ontology system theory control theory multidimensional representation

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A Framework of Knowledge Theory： Toward a Unified Theory of Information, Knowledge and Intelligence

Zhong Yixin

Strategic Study of CAE 2000, Volume 2, Issue 9, Pages 50-64

Abstract:

Knowledge has been very important wealth to the mankind but there has not a knowledge theory existedAn attempt is thus made in the paper to present a framework of knowledge theory that includes two parts: fundamentals and the main body of knowledge theory.The second part is to explore the mechanism of knowledge formation based on information processing andthe mechanism of intelligence formation based on the activation of knowledge.

Keywords： knowledge amount of knowledge knowledge formation knowledge activation unified theory of information-knowledge-intelligence

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Liquid metal material genome: Initiation of a new research track towards discovery of advanced energy

Lei WANG, Jing LIU

Frontiers in Energy 2013, Volume 7, Issue 3, Pages 317-332 doi: 10.1007/s11708-013-0271-9

Abstract: As the basis of modern industry, the roles materials play are becoming increasingly vital in this day and age. With many superior physical properties over conventional fluids, the low melting point liquid metal material, especially room-temperature liquid metal, is recently found to be uniquely useful in a wide variety of emerging areas from energy, electronics to medical sciences. However, with the coming enormous utilization of such materials, serious issues also arise which urgently need to be addressed. A biggest concern to impede the large scale application of room-temperature liquid metal technologies is that there is currently a strong shortage of the materials and species available to meet the tough requirements such as cost, melting point, electrical and thermal conductivity, etc. Inspired by the Material Genome Initiative as issued in 2011 by the United States of America, a more specific and focused project initiative was proposed in this paper—the liquid metal material genome aimed to discover advanced new functional alloys with low melting point so as to fulfill various increasing needs. The basic schemes and road map for this new research program, which is expected to have a worldwide significance, were outlined. The theoretical strategies and experimental methods in the research and development of liquid metal material genome were introduced. Particularly, the calculation of phase diagram (CALPHAD) approach as a highly effective way for material design was discussed. Further, the first-principles (FP) calculation was suggested to combine with the statistical thermodynamics to calculate the thermodynamic functions so as to enrich the CALPHAD database of liquid metals. When the experimental data are too scarce to perform a regular treatment, the combination of FP calculation, cluster variation method (CVM) or molecular dynamics (MD), and CALPHAD, referred to as the mixed FP-CVM-CALPHAD method can be a promising way to solve the problem. Except for the theoretical strategies, several parallel processing experimental methods were also analyzed, which can help improve the efficiency of finding new liquid metal materials and reducing the cost. The liquid metal material genome proposal as initiated in this paper will accelerate the process of finding and utilization of new functional materials.

Keywords： liquid metal material genome energy material material discovery advanced material room-temperature liquid

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An econometric investigation using price discovery theory

Yeli ZENG, Cong DONG, Mikael HÖÖK, Jinhua SUN, Danyang SHI

Frontiers in Energy 2020, Volume 14, Issue 4, Pages 726-739 doi: 10.1007/s11708-020-0701-4

Abstract: reflect the average price level and market movements, but the market information transparency and price discovery

Keywords： liquefied natural gas price index Shanghai Petroleum and Gas Exchange price discovery market reforms

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Research on Knowledge Sharing and Transfer in Remanufacturing Engineering Management Based on SECI Model

Ling-ling Zhang,Ming-hui Zhao,Qiao Wang

Frontiers of Engineering Management 2016, Volume 3, Issue 2, Pages 136-143 doi: 10.15302/J-FEM-2016030

Abstract: In this paper, an application mode and method of knowledge management in remanufacturing engineeringThe relationships between knowledge transfer, knowledge sharing and remanufacturing engineering managementIt is noticeable that a great deal of knowledge transfer and sharing activities, which can improve the

Keywords： remanufacturing engineering management knowledge transfer and sharing knowledge management

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perspectives and future research directions for the phytoremediation of heavy metal-contaminated soil: A knowledge

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 6, doi: 10.1007/s11783-021-1507-2

Abstract:

• The overall global perspective of the PHMCS field was obtained.

Keywords： Heavy metal-contaminated soil Hot topics Knowledge mapping analysis Knowledge base Phytoremediation

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The application and deepening of knowledge management system

Li Hua

Strategic Study of CAE 2011, Volume 13, Issue 8, Pages 87-93

Abstract:

In the knowledge economy era, enterprises begin to realize that the mostvaluable property is knowledge.Effectively implementing the knowledge management system should be guided by the correct principles.The selection of sharing knowledge, building knowledge sharing platform and storage management unit,leading knowledge exchange and implementing incentive policies should be emphasized.

Keywords： knowledge management knowledge sharing knowledge forum

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New Technology promotes the Discovery of the Tarim Natural Gas Province

Qiu Zhongjian

Strategic Study of CAE 2000, Volume 2, Issue 9, Pages 38-41

Abstract: The discovery is a catalyst for the commencement of the project to transmit natural gas from the Tarim

Keywords： key technology innovation discovery Tarim gas province

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Development and Prospect of Big Data Knowledge Engineering

Zheng Qinghua, Liu Huan, Gong Tieliang, Zhang Lingling, Liu Jun

Strategic Study of CAE 2023, Volume 25, Issue 2, Pages 208-220 doi: 10.15302/J-SSCAE-2023.02.018

Abstract:

Big Data Knowledge Engineering is the infrastructure of artificial intelligenceand propose a research framework of “data knowledgeization, knowledge systematization, and knowledgeSecondly, we sort out the key technologies of knowledge acquisition and fusion, knowledge representationdirections including complex big data knowledge acquisition, knowledge+data hybrid learning, and brain-inspiredknowledge coding and memorizing.

Keywords： Big Data Knowledge Engineering Knowledge Acquisition Knowledge Fusion Knowledge Representation Knowledge