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Semantically condensed multi-relational frequent pattern discovery based on conjunctive query containment

Yang Bingru,Zhang Wei,Qian Rong

Strategic Study of CAE 2008, Volume 10, Issue 9,   Pages 47-53

Abstract: Multi-relational frequent pattern discovery approaches directly look for frequent patterns that involveWhile the state-of-the-art of multi-relational frequent pattern discovery approaches is based on thepattern discovery based on conjunctive query containment in terms of the theory and technique of relationalunderstandability, function, efficiency and scalability of the state-of-the-art of multi-relational frequentpattern discovery approaches.

Keywords： multi-relational data mining     frequent pattern discovery     conjunctive query     condensed pattern    

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Anon-group parallel frequent pattern mining algorithm based on conditional patterns Regular Papers-Research Articles

Zhe-jun KUANG, Hang ZHOU, Dong-dai ZHOU, Jin-peng ZHOU, Kun YANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 9,   Pages 1234-1245 doi: 10.1631/FITEE.1800467

Abstract: Frequent itemset mining serves as the main method of association rule mining.With the limitations in computing space and performance, the association of frequent items in large dataIn this study, we find that the formation of the frequent pattern (FP) mining algorithm depends mainlyon the conditional pattern bases.Based on the parallel frequent pattern (PFP) algorithm theory, the grouping model divides frequent items

Keywords： Frequent pattern mining     Parallel algorithm     Conditional pattern bases     MapReduce     Big data    

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Discoverymethod for distributed denial-of-service attack behavior inSDNs using a feature-pattern graphmodel Special Feature on Future Network-Research Article

Ya XIAO, Zhi-jie FAN, Amiya NAYAK, Cheng-xiang TAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 9,   Pages 1195-1208 doi: 10.1631/FITEE.1800436

Abstract: We propose a method to discover DDoS attack behaviors in SDNs using a feature-pattern graph model.The feature-pattern graph model presented employs network patterns as nodes and similarity as weightedExperiments on two datasets prove the feasibility of the proposed method for attack behavior discovery

Keywords： Software-defined network     Distributed denial-of-service (DDoS)     Behavior discovery     Distance metric learning     Feature-pattern graph    

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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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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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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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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: an essential task for decision-making activities such as classification, prediction, and knowledge discoveryA time series is represented by trend symbols, which are also suitable for use in knowledge discoverybetter segmentation efficiency and classification accuracy, but also is applicable for use in knowledge discovery

Keywords： Long time series     Segmentation     Trend features     Symbolic     Knowledge discovery    

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Facile discovery of red blood cell deformation and compromised membrane/skeleton assembly in Prader–Willi

Frontiers of Medicine 2022, Volume 16, Issue 6,   Pages 946-956 doi: 10.1007/s11684-022-0962-x

Abstract: Prader–Willi syndrome (PWS) is a rare congenital disease with genetic alterations in chromosome 15. Although genetic disorders and DNA methylation abnormalities involved in PWS have been investigated to a significant degree, other anomalies such as those in erythrocytes may occur and these have not been clearly elucidated. In the present study, we uncovered slight anemia in children with PWS that was associated with increased red blood cell (RBC) distribution width (RDW) and contrarily reduced hematocrit (HCT) values. Intriguingly, the increased ratio in RDW to HCT allowed sufficient differentiation between the PWS patients from the healthy controls and, importantly, with individuals exhibiting conventional obesity. Further morphologic examinations revealed a significant deformity in erythrocytes and mild hemolysis in PWS patients. Comprehensive mechanistic investigations unveiled compromised membrane skeletal assembly and membrane lipid composition, and revealed a reduced F-actin/G-actin ratio in PWS patients. We ascribed these phenotypic changes in erythrocytes to the observed genetic defects, including DNA methylation abnormalities. Our collective data allowed us to uncover RBC deformation in children with PWS, and this may constitute an auxiliary indicator of PWS in early childhood.

Keywords： Prader–Willi syndrome     early diagnosis     erythrocyte deformation     membrane skeleton     membrane lipid    

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Subsurface damage pattern and formation mechanism of monocrystalline -GaO in grinding process

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0677-3

Abstract: The aim of this study is to investigate the damage pattern and formation mechanism of monocrystallineof the grinding principle, revealing the mechanism of the mechanical effect of grits on the damage pattern

Keywords： monocrystalline beta-phase gallium oxide     grinding process     subsurface damage     nanocrystals     amorphous phase    

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Discovery and repurposing of artemisinin

Frontiers of Medicine 2022, Volume 16, Issue 1,   Pages 1-9 doi: 10.1007/s11684-021-0898-6

Abstract: The discovery of artemisinin, inspired by traditional Chinese medicine (TCM), has brought in a paradigmHere, we will first review the initial discovery of artemisinin, an extraordinary journey that was in

Keywords： artemisinin     drug repurposing     cancer     inflammation     COVID-19     traditional Chinese medicine    

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SHIFTING TO A RECOMMENDED DIETARY PATTERN COULD PROMOTE SUSTAINABLE DEVELOPMENT OF THE ENVIRONMENT AND

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 1,   Pages 73-82 doi: 10.15302/J-FASE-2023489

Abstract: ItemContent>

● Shifting from the existing dietary patterns to the alternative recommended dietary pattern

Keywords： CHNS data     cluster analysis     dietary patterns     sustainable development    

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The influence of hand hole on the ultimate strength and crack pattern of shield tunnel segment joints

Shaochun WANG, Xi JIANG, Yun BAI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1200-1213 doi: 10.1007/s11709-019-0546-2

Abstract: A \ /-type crack pattern is always observed before the final failure of the segment joints.

Keywords： tunneling     structural synthetic fiber concrete     hand hole     segment joint     ultimate bearing capacity     crack pattern    

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Li Siguang and China's Big Discovery of Petroleum

Zhao Wenjing

Strategic Study of CAE 2005, Volume 7, Issue 2,   Pages 26-34

Abstract: with full historical materials, that Li Siguang made irreplaceable contribution to China's big discovery

Keywords： Li Siguang     China's oil resource     China's big discovery and development of petroleum    

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Pattern Recognition With Fuzzy Central Clustering Algorithms

Zen Huanglin,Yuan Hui,Liu Xiaofang

Strategic Study of CAE 2004, Volume 6, Issue 11,   Pages 33-37

Abstract: constrained nonlinear programming, an approach of clustering center and a fuzzy membership function of patternfuzzy central cluster neural network proposed here can realize crisp decision or fuzzy decision in pattern

Keywords： fuzzy sets     central cluster     pattern recognition     neural network    

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Title Author Date Type Operation

Semantically condensed multi-relational frequent pattern discovery based on conjunctive query containment

Yang Bingru,Zhang Wei,Qian Rong

Journal Article

Anon-group parallel frequent pattern mining algorithm based on conditional patterns

Zhe-jun KUANG, Hang ZHOU, Dong-dai ZHOU, Jin-peng ZHOU, Kun YANG

Journal Article

Discoverymethod for distributed denial-of-service attack behavior inSDNs using a feature-pattern graphmodel

Ya XIAO, Zhi-jie FAN, Amiya NAYAK, Cheng-xiang TAN

Journal Article

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

Journal Article

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

Lei WANG, Jing LIU

Journal Article

An econometric investigation using price discovery theory

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

Journal Article

New Technology promotes the Discovery of the Tarim Natural Gas Province

Qiu Zhongjian

Journal Article

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

Journal Article

Facile discovery of red blood cell deformation and compromised membrane/skeleton assembly in Prader–Willi

Journal Article

Subsurface damage pattern and formation mechanism of monocrystalline -GaO in grinding process

Journal Article

Discovery and repurposing of artemisinin

Journal Article

SHIFTING TO A RECOMMENDED DIETARY PATTERN COULD PROMOTE SUSTAINABLE DEVELOPMENT OF THE ENVIRONMENT AND

Journal Article

The influence of hand hole on the ultimate strength and crack pattern of shield tunnel segment joints

Shaochun WANG, Xi JIANG, Yun BAI

Journal Article

Li Siguang and China's Big Discovery of Petroleum

Zhao Wenjing

Journal Article

Pattern Recognition With Fuzzy Central Clustering Algorithms

Zen Huanglin,Yuan Hui,Liu Xiaofang

Journal Article