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Multi-Step Clustering of Smart Meters Time Series:Application to Demand Flexibility Characterization of SME Customers: 《Computer Modeling in Engineering & Sciences》2025年第1期869-907,共39页Santiago Bañales Raquel Dormido Natividad Duro; supported by the Spanish Ministry of Science and Innovation under Projects PID2022-137680OB-C32 and PID2022-139187OB-I00.; Customer segmentation according to load-shape profiles using smart meter data is an increasingly important application to vital the planning and operation of energy systems and to enable citizens’participation in the...; 关键词：Electric load clustering load profiling smart meters machine learning data mining demand flexibility demand response

GPT Models Can Perform Thematic Analysis in Public Health Studies,Akin to Qualitative Researchers: 《Journal of Social Computing》2024年第4期293-312,共20页Yuyi Yang Charles Alba Chenyu Wang Xi Wang Jami Anderson Ruopeng An; supported in part by the Washington University Center for Diabetes Translation Research(WU-CDTR)under Grant Number P30DK092950 from the National Institute of Diabetes and Digestive and Kidney Diseases(NIDDK)。; Conducting thematic analysis in qualitative research can be laborious and time-consuming.We propose and evaluate the feasibility of using Generative Pre-trained Transformer(GPT)models to assist public health researche...; 关键词：social computing applications in healthcare and public health ethnographic and qualitative methodologies machine learning data mining computational linguistics

Consistency preserving database watermarking algorithm for decision trees: 《Digital Communications and Networks》2024年第6期1851-1863,共13页Qianwen Li Xiang Wang Qingqi Pei Xiaohua Chen Kwok-Yan Lam; supported by the National Key Research and Development Program of China under Grant 2021YFB2700600;the National Natural Science Foundation of China under Grant 62132013 and 61902292;the Key Research and Development Programs of Shaanxi under Grants 2021ZDLGY06-03;the Truth-Seeking Research Scholarship Fund of Xidian University。; Database watermarking technologies provide an effective solution to data security problems by embedding the watermark in the database to prove copyright or trace the source of data leakage.However,when the watermarked...; 关键词：Consistency preserving Decision tree Database watermarking Data mining

Intelligent Power Equipment for Autonomous Situational Awareness and Active Operation and Maintenance: 《Journal of Modern Power Systems and Clean Energy》2024年第6期2081-2090,共10页Shice Zhao Hongshan Zhao; The rapid development of the power system re-quires high reliability and real-time situational awareness of power equipment.The current agent-based condition-monitor-ing perception mode is not suitable for widely dist...; 关键词：Intelligent power equipment perception mode data mining primary and secondary fusion situational awareness

Significance and Predictive Classification Algorithms in Sentiment Analysis: 《Journal of Harbin Institute of Technology(New Series)》2024年第6期37-48,共12页V Uma V Ganesh; In recent times, an abrupt upswing has emerged within the data mining domain, particularly within the sphere of sentiment analysis. Encompassing diverse dimensions such as sentiment extraction, subjectivity categoriza...; 关键词：data mining OM CLASSIFICATION

Medication Rules of Hub Herb Pairs for Insomnia and Mechanism of Action:Results of Data Mining,Network Pharmacology,and Molecular Docking: 《Chinese Medical Sciences Journal》2024年第4期249-260,共12页Wen-Long Guo Hui-Juan Jiang Yan-Rong Li Jin-Long Yang Yu-Chan Chen; National Natural Science Foundation of China(82360905);Gansu Provincial University Teachers'Innovation Fund Projects(2023A-092 and 2024B-109).; Objective To explore the medication rules of traditional Chinese medicine(TCM)and mechanism of action of hub herb pairs for treating insomnia.Methods Totally 104 prescriptions were statistically analyzed.The associati...; 关键词：medication rules mechanism INSOMNIA data mining herb pairs network pharmacology molecular docking

Application of user preference mining algorithms based on data mining and social behavior in brand building: 《Data Science and Management》2024年第4期323-331,共9页Yuhan Dong; Small and medium-sized enterprises currently suffer from a lack of branding.Therefore,to further promote their active branding,this study proposes a user preference mining algorithm based on data mining and social beh...; 关键词：Mining algorithms Brand building

Model-based offline reinforcement learning framework for optimizing tunnel boring machine operation: 《Underground Space》2024年第6期47-71,共25页Yupeng Cao Wei Luo Yadong Xue Weiren Lin Feng Zhang; Research on automation and intelligent operation of tunnel boring machine(TBM)is receiving more and more attention,benefiting from the increasing construction data.However,most studies on TBM operations optimization w...; 关键词：TBM Reinforcement learning TRANSFORMER Data mining

Supplier Data Association Portrait Model Based on Improved Fuzzy Algorithm: 《International Journal of Plant Engineering and Management》2024年第4期213-234,共22页GAN Dejun LIU Shuyang HAN Zhihong HUANG Zhiyuan LI Shenshen; support by National Natural Science Foundation of China(52066006);Science and Technology Department Major R&D Project of Jiangxi Provincial(20192BBHL80009);Science and Technology Department Major R&D Project of Jiangxi Provincial(20171BAB206031);Education Department of Jiangxi Province Project(GJJ14637,GJJ150909);the Project of Jingdezhen Science and Technology Bureau(2019GYZD008⁃13)。; With the advent of the Big Data era,the amount of data on supplier information is increasing geometrically.Buyers want to use this data to find high quality suppliers before purchasing,so as to reduce transaction risk...; 关键词：big data data mining open innovation try monitoring portrait modeling

MetMiner:A user-friendly pipeline for large-scale plant metabolomics data analysis: 《Journal of Integrative Plant Biology》2024年第11期2329-2345,共17页Xiao Wang Shuang Liang Wenqi Yang Ke Yu Fei Liang Bing Zhao Xiang Zhu Chao Zhou Luis A.J.Mur Jeremy A.Roberts Junli Zhang Xuebin Zhang; supported by the National Key Research and Development Program of China(No.2021YFA1300401);the Henan Key Scientific Research Programs to Universities and Colleges(No.22ZX006,to X.Z.);the National Natural Science Foundation of China(No.31970323 and 32170269,to X.Z.);the Postdoctoral Research Initiation Program in Henan Province(No.HN2022138 to X.W.)。; The utilization of metabolomics approaches to explore the metabolic mechanisms underlying plant fitness and adaptation to dynamic environments is growing,highlighting the need for an efficient and user-friendly toolki...; 关键词：data mining iterative WGCNA metabolomics PIPELINE shinyapp

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