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data mining algorithm and framework for identifying HVAC control strategies in large commercial buildings

Building Simulation 2021年第1期14卷 63-74页

作者： Zhe Chen Peng Xu Fan Feng Yifan Qiao Wei Luo Department of Mechanical and Energy Engineering Tongji UniversityShanghai201804China Department of Mechanical Engineering The University of AlabamaTuscaloosaAL35487USA

Heating,Ventilation,and Air-Conditioning(HVAC)control strategies are set arbitrarily in many commercial buildings by operators,who sometimes lack relevant skills and professional *** is acknowledged that improving the control strategy of HVAC is feasible and valid,which as a consequence can improve the overall HVAC performance of existing ***,it is quite difficult for an outsiders or a commissioning agent to tell what the HVAC control strategies are and whether they are implemented appropriately in existing *** paper is intended to carry out analysis on the data about Building Automation System(BAS),as well as the data about building energy,for the purpose of identifying the control strategies of HVAC in a given building by using data mining *** the results can be adopted by us to determine whether the building is under faulty operation or is running under suboptimal *** this paper,what are proposed are algorithms of data mining identification for some specific HVAC control strategies,including DR on/off strategy,DR reset strategy and temperature reset strategy of chilled *** the basis of data mining algorithms,a framework is then developed so as to identify these strategies,and the main scenario of this identification framework is known as analyzing many commercial buildings on an energy monitoring platform of a public *** framework takes the sensor data obtained from HVAC,including temperature,flowrate,and electricity usage,as input,which is followed by the application of Image Segmentation and PCA algorithm for ***,based on these input variables,XGBoost algorithm is employed to determine whether these strategies have been implemented in buildings or *** order to get the data for training and testing the framework,EnergyPlus Runtime Language is adopted for the application of different strategies.t is finally shown by the result that the identification algorithm can achieve the a

关键词： HVAC control strategy identification data mining

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data mining in clinical big data:the frequently used databases,steps,and methodological models

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Military Medical Research 2021年第4期8卷 552-563页

作者： Wen-Tao Wu Yuan-Jie Li Ao-Zi Feng Li Li Tao Huang An-Ding Xu Jun Lv Department of Clinical Research the First Affiliated Hospital ofJinan UniversityGuangzhou 510632China. School of Public Health Xi’an Jiaotong University Health Science CenterXi’an 710061China. Department of Human Anatomy Histology and EmbryologySchoolof Basic Medical SciencesXi’an Jiaotong University Health ScienceCenterXi’an 710061China. Department of Neurology the FirstAffiliated Hospital of Jinan UniversityGuangzhou 510632China.

Many high quality studies have emerged from public databases,such as Surveillance,Epidemiology,and End Results(SEER),National Health and Nutrition Examination Survey(NHANES),The Cancer Genome Atlas(TCGA),and Medical Information Mart for Intensive Care(MIMIC);however,these data are often characterized by a high degree of dimensional heterogeneity,timeliness,scarcity,irregularity,and other characteristics,resulting in the value of these data not being fully ***-mining technology has been a frontier field in medical research,as it demonstrates excellent performance in evaluating patient risks and assisting clinical decision-making in building disease-prediction ***,data mining has unique advantages in clinical big-data research,especially in large-scale medical public *** article introduced the main medical public database and described the steps,tasks,and models of data mining in simple ***,we described data-mining methods along with their practical *** goal of this work was to aid clinical researchers in gaining a clear and intuitive understanding of the application of data-mining technology on clinical big-data in order to promote the production of research results that are beneficial to doctors and patients.

关键词： Clinical big data data mining Machine learning Medical public database Surveillance Epidemiology and End Results National Health and Nutrition Examination Survey The Cancer Genome Atlas Medical Information Mart for Intensive Care

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data mining with Comprehensive Oppositional Based Learning for Rainfall Prediction

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Computers, Materials & Continua 2023年第2期74卷 2725-2738页

作者： Mohammad Alamgeer Amal Al-Rasheed Ahmad Alhindi Manar Ahmed Hamza Abdelwahed Motwakel Mohamed I.Eldesouki Department of Information Systems College of Science&Art at MahayilKing Khalid UniversityAbha62529Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Computer Science College of Computing and Information SystemMecca24382Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharj16278Saudi Arabia Department of Information System College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAlKharj16278Saudi Arabia

data mining process involves a number of steps fromdata collection to visualization to identify useful data from massive data *** same time,the recent advances of machine learning(ML)and deep learning(DL)models can be utilized for effectual rainfall *** this motivation,this article develops a novel comprehensive oppositionalmoth flame optimization with deep learning for rainfall prediction(COMFO-DLRP)*** proposed CMFO-DLRP model mainly intends to predict the rainfall and thereby determine the environmental ***,data pre-processing and correlation matrix(CM)based feature selection processes are carried *** addition,deep belief network(DBN)model is applied for the effective prediction of rainfall ***,COMFO algorithm was derived by integrating the concepts of comprehensive oppositional based learning(COBL)with traditional MFO ***,the COMFO algorithm is employed for the optimal hyperparameter selection of the DBN *** demonstrating the improved outcomes of the COMFO-DLRP approach,a sequence of simulations were carried out and the outcomes are assessed under distinct *** simulation outcome highlighted the enhanced outcomes of the COMFO-DLRP method on the other techniques.

关键词： data mining rainfall prediction deep learning correlation matrix hyperparameter tuning metaheuristics

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data mining Study on Prescription Patterns of Different Dosage Forms of Chinese Herbal Medicines for Treating and Improving Immune-Inflammatory Indices in Patients with Rheumatoid Arthritis

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Chinese Journal of Integrative Medicine 2022年第3期28卷 215-222页

作者： HUANG Dan LIU Jian XIN Ling XIE Jin-gui ZHU Qiang CHEN Pei-sheng SHEN Zhi-bin MENG Qing-he WANG Hai-yan Department of Rheumatology First Affiliated Hospital of Anhui University of Chinese MedicineHefei(230031)China The School of Management University of Science and Tech no logy of ChinaHefei(230026)China An hui Jiren Pharmaceutical Co. Ltd.BozhouAnhui Provinee(236800)China Department of Acupuncture Huangshan Hospital of Chinese MedicineHuangshanAnhui Province(245000)China Department of Internal Medicine Bozhou Hospital of Chinese MedicineBozhouAnhui Province(236800)China

Objective:To explore the prescription patterns of different dosage forms of Chinese herbal medicines(CHMs)for the treatment of rheumatoid arthritis(RA)and their effects on immune-inflammatory ***:Clinical data were collected from patients with RA in 4 hospitals(3 Class A comprehensive hospitals and 1 Class B comprehensive hospital)in Anhui Province,China,from August 2012 to June 2018 via the electronic medical record gathering *** extraction of prescription information,each prescribed herb was quantified and standardized according to the knowledge base to establish a database of RA treatment *** medical records were divided into the granules group and decoction pieces *** herbs and their combination patterns were obtained from the two groups of cases using Liquorice *** in immune-inflammatory and hepatic and renal function indices were compared between the two groups using SPSS 23.0 *** Aprior module of SPSS Clementine 11.1 software was applied to analyse the correlation between CHMs and improvement in ***,the ORACLE 10 g tool was used to evaluate the random walk model of the immune-inflammatory indices between the two ***:(1)We retrospectively analysed 35,898 prescriptions for 6,829 patients with RA who received CHM *** were 3,816 patients in the granules group and 3,013 in the decoction pieces group.(2)The core herbs were Pi(Spleen)-strengthening and dampness-resolving drugs,blood-activating and stasis-resolving drugs,wind/dampness-dispelling drugs and heatclearing and detoxifying drugs.(3)Both dosage forms could improve immune-inflammatory indices in RA patients,with similar efficacy and no influence on hepatic or renal function.(4)Herba Siegesbeckiae and Oldenlandia had a stronger association with immune-inflammatory indices in the two groups.(5)The immune-inflammatory indices showed obvious improvement after treatment with granules and decoction pieces of CHMs,and

关键词： rheumatoid arthritis Chinese heral medicine granules decoction pieces data mining

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data mining and Machine Learning Methods Applied to A Numerical Clinching Model

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Computer Modeling in Engineering & Sciences 2018年第12期117卷 387-423页

作者： Marco Gotz Ferenc Leichsenring Thomas Kropp Peter Müller Tobias Falk Wolfgang Graf Michael Kaliske Welf-Guntram Drossel Institute for Structural Analysis Technische UniversitatDresdenGermany Fraunhofer Institute for Machine Tools and Forming Technology DresdenGermany

Numerical mechanical models used for design of structures and processes are very complex and high-dimensionally *** understanding of the model characteristics is of interest for engineering tasks and subsequently for an efficient *** analysis methods are known and available to gain insight into existing *** this contribution,selected methods from various fields are applied to a real world mechanical engineering example of a currently developed clinching *** selection of introduced methods comprises techniques of machine learning and data mining,in which the utilization is aiming at a decreased numerical *** methods of choice are basically discussed and references are given as well as challenges in the context of meta-modelling and sensitivities are *** incremental knowledge gain is provided by a step-bystep application of the numerical methods,whereas resulting consequences for further applications are ***,a visualisation method aiming at an easy design guideline is *** visual decision maps incorporate the uncertainty coming from the reduction of dimensionality and can be applied in early stage of design.

关键词： Design data mining computational intelligence meta-modelling permissible design space sensitivity analysis self-organizing maps inverse problem early stage of design clinching

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data mining-based detection of acupuncture treatment on juvenile myopia

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Journal of Traditional Chinese Medicine 2012年第3期32卷 372-376页

作者： Xuming Yang Lingyu Xu Fei Zhong Ying Zhu College of Acupuncture and Massage Shanghai University of TCM Shanghai 201203 China College of Computer Engineeringand Science Shanghai University Shanghai 200072 China Department of Ophthalmology Shanghai of TCM hospital Shanghai 200071 China

OBJECTIVE:We applied data mining techniques to the study of acupuncture as a treatment for juvenile myopia,with the aim of identifying hidden patterns in the ***:Fifty patients with juvenile myopia were selected and treated with acupuncture,and data mining was used to analyze the effects of treatment and the influence of behavioral *** analysis was used to divide myopia patients into two classifications before acupuncture *** neural network BP algorithm was adopted to analyze the roles of different factors in changes in *** association algorithm was used to analyze factors associated with the subjective experience of acupuncture and average ***:The two classification results were fully consistent with the understandings of the ophthalmic *** duration of using the Internet and watching TV every day was the main factor that affected *** feelings and therapeutic effect have a strong correlativity.A good or above experience's score of acupuncture could slow the progression of juvenile ***:Collecting data from patients with juvenile myopia by using data mining can extract hidden potential rules and knowledge from the research *** decision support can be provided to improve the doctor's clinical acupuncture treatment effects.

关键词： Acupuncture therapy Myopia Algorithms data mining

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data mining-based model and risk prediction of colorectal cancer by using secondary health data:A systematic review

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Chinese Journal of Cancer Research 2020年第2期32卷 242-251页

作者： Hailun Liang Lei Yang Lei Tao Leiyu Shi Wuyang Yang Jiawei Bai Da Zheng Ning Wang Jiafu Ji School of Public Administration and Policy Renmin University of ChinaBeijing 100872China Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing) Beijing Office for Cancer Prevention and ControlPeking University Cancer Hospital&InstituteBeijing 100142China Departm ent of Public Policy City University of Hong KongHong Kong SAR999077China Johns Hopkins Primary Care Policy Center BaltimoreMD 21205USA Ddepartment of Neurosurgery Johns Hopkins MedicineBaltimoreMD 21205USA Department of Biostatistics Johns Hopkins Bloomberg School of Public HealthBaltimoreMD 21205USA Department of Computer Science Johns Hopkins Whiting School of EngineeringBaltimoreMD 21205USA Key Laboratory of Carcinogenesis and Translational Research(Ministiy of Education/Beijing) Center of Gastrointestinal SurgeryPeking University Cancer Hospital&InstituteBeijing 100142China

Objective:Prevention and early detection of colorectal cancer(CRC)can increase the chances of successful treatment and reduce *** data mining technologies have been utilized to strengthen the early detection of CRC in primary *** synthesis on the model’s effectiveness is *** systematic review synthesizes studies that examine the effect of data mining on improving risk prediction of ***:The PRISMA framework guided the conduct of this *** obtained papers via Pub Med,Cochrane Library,EMBASE and Google *** appraisal was performed using Downs and Black’s quality *** evaluate the performance of included models,the values of specificity and sensitivity were comparted,the values of area under the curve(AUC)were plotted,and the median of overall AUC of included studies was ***:A total of 316 studies were reviewed for full *** articles were *** studies implement techniques including artificial neural networks,Bayesian networks and decision *** articles reported the overall model ***,the median AUC is 0.8243[interquartile range(IQR):0.8050-0.8886].In the two articles that reported comparison results with traditional models,the data mining method performed better than the traditional models,with the best AUC improvement of 10.7%.Conclusions:The adoption of data mining technologies for CRC detection is at an early *** numbers of included articles and heterogeneity of those studies implied that more rigorous research is expected to further investigate the techniques’effects.

关键词： Systematic review colorectal cancer disease detection data mining

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data mining-aided materials discovery and optimization

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Journal of Materiomics 2017年第3期3卷 191-201页

作者： Wencong Lu Ruijuan Xiao Jiong Yang Hong Li Wenqing Zhang Materials Genome Institute of Shanghai University Shanghai Materials Genome InstituteShanghai 200444China Institute of Physics Chinese Academy of SciencesBeijingChina

Recent developments in data mining-aided materials discovery and optimization are reviewed in this paper,and an introduction to the materials data mining(MDM)process is provided using case *** qualitative and quantitative methods in machine learning can be adopted in the MDM process to accomplish different tasks in materials discovery,design,and ***-of-the-art techniques in data mining-aided materials discovery and optimization are demonstrated by reviewing the controllable synthesis of dendritic Co_(3)O_(4) superstructures,materials design of layered double hydroxide,battery materials discovery,and thermoelectric materials *** results of the case studies indicate that MDM is a powerful approach for use in materials discovery and innovation,and will play an important role in the development of the Materials Genome Initiative and Materials Informatics.

关键词： data mining Materials design Co3O4 superstructures Layered double hydroxide Battery materials Thermoelectric materials Materials genome initiative

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data mining Ontology Development for High User Usability

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Wuhan University Journal of Natural Sciences 2006年第1期11卷 51-56页

作者： LI Yu-hua LU Zheng-ding SUN Xiao-lin WEN Kun-mei LI Rui-xuan College of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074Hubei China

This paper mainly introduces the development and implementation of the user centered data mining service ontology on Universal Knowledge Grid （UKG）. UKG is an ontology-based grid architecture model to build large-scale distributed knowledge discovery system on the grid. The data mining ontology services are the main service offering by UKG. It can meet the user requirements of knowledge discovery in different domains and different hierarchies and make the system exoteric, extensible and high usable. A data min- ing solution for money laundering is introduced.

关键词： data mining ontology usability universal knowledge grid

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data mining with Privacy Protection Using Precise Elliptical Curve Cryptography

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Intelligent Automation & Soft Computing 2023年第1期35卷 839-851页

作者： B.Murugeshwari D.Selvaraj K.Sudharson S.Radhika Department of Computer Science and Engineering Velammal Engineering CollegeChennai600066India Department of Electronics and Communication Engineering Panimalar Engineering CollegeChennai600123India Department of Information Technology Velammal Insitutue of TechnologyChennai601204India Department of Computer Science and Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesChennai600124India

Protecting the privacy of data in the multi-cloud is a crucial *** mining is a technique that protects the privacy of individual data while mining those *** most significant task entails obtaining data from numerous remote *** algorithms can obtain sensitive information once the data is in the data *** traditional algorithms/techniques promise to provide safe data transfer,storing,and retrieving over the cloud *** strategies are primarily concerned with protecting the privacy of user *** study aims to present data mining with privacy protection(DMPP)using precise elliptic curve cryptography(PECC),which builds upon that algebraic elliptic curve *** approach enables safe data exchange by utilizing a reliable data consolidation approach entirely reliant on rewritable data concealing ***,it outperforms data mining in terms of solid privacy procedures while maintaining the quality of the *** approximation error,computational cost,anonymizing time,and data loss are considered performance *** suggested approach is practical and applicable in real-world situations according to the experimentalfindings.

关键词： data mining cryptography privacy preserving elliptic curve information security

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