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Big Data Cleaning Based on Improved CLOF and Random Forest for Distribution Networks
《CSEE Journal of Power and Energy Systems》2024年第6期2528-2538,共11页Jie Liu Yijia Cao Yong Li Yixiu Guo Wei Deng 
supported in part by the National Natural Science Foundation of China(NSFC)under Grant U1966207 and 51822702;in part by the Key Research and Development Program of Hunan Province of China under Grant 2018GK2031;in part by the 111 Project of China under Grant B17016,in part by the Innovative Construction Program of Hunan Province of China under Grant 2019RS1016;in part by the Excellent Innovation Youth Program of Changsha of China under Grant KQ1802029.
In order to improve the data quality,the big data cleaning method for distribution networks is studied in this paper.First,the Local Outlier Factor(LOF)algorithm based on DBSCAN clustering is used to detect outliers.H...
关键词：Data cleaning DBSCAN LOF missing data imputation outliers detection Random Forest 
Approximation and Heuristic Algorithms for the Priority Facility Location Problem with Outliers
《Tsinghua Science and Technology》2024年第6期1694-1702,共9页Hang Luo Lu Han Tianping Shuai Fengmin Wang 
supported by the Beijing Municipal Natural Science Foundation(No.Z220004);the National Natural Science Foundation of China(Nos.12371321,12171051,and 12171052);the Research Innovation Fund for College Students of Beijing University of Posts and Telecommunications.
In this paper,we propose the Priority Facility Location Problem with Outliers(PFLPO),which is a generalization of both the Facility Location Problem with Outliers(FLPO)and Priority Facility Location Problem(PFLP).As o...
关键词：priority facility location PRIMAL-DUAL approximation algorithm 
Changepoint Detection with Outliers Based on RWPCA
《Journal of Applied Mathematics and Physics》2024年第7期2634-2651,共18页Xin Zhang Sanzhi Shi Yuting Guo 
Changepoint detection faces challenges when outlier data are present. This paper proposes a multivariate changepoint detection method which is based on the robust WPCA projection direction and the robust RFPOP method,...
关键词：RWPCA-RFPOP Double Robust Outlier Detection Biweight Loss 
Pretreating and normalizing metabolomics data for statistical analysis被引量：1
《Genes & Diseases》2024年第3期188-205,共18页Jun Sun Yinglin Xia 
supported by the Crohn's&Colitis Foundation Senior Research Award(No.902766 to J.S.);The National Institute of Diabetes and Digestive and Kidney Diseases(No.R01DK105118-01 and R01DK114126 to J.S.);United States Department of Defense Congressionally Directed Medical Research Programs(No.BC191198 to J.S.);VA Merit Award BX-19-00 to J.S.
Metabolomics as a research field and a set of techniques is to study the entire small molecules in biological samples.Metabolomics is emerging as a powerful tool generally for pre-cision medicine.Particularly,integrat...
关键词：Data centering and scaling Data normalization Data transformation Missing values MS-Baseddata preprocessing NMRData preprocessing OUTLIERS Preprocessing/pretreatment 
Research on Total Electric Field Prediction Method of Ultra-High Voltage Direct Current Transmission Line Based on Stacking Algorithm
《Computer Systems Science & Engineering》2024年第3期723-738,共16页Yinkong Wei Mucong Wu Wei Wei Paulo R.F.Rocha Ziyi Cheng Weifang Yao 
funded by a science and technology project of State Grid Corporation of China“Comparative Analysis of Long-Term Measurement and Prediction of the Ground Synthetic Electric Field of±800 kV DC Transmission Line”(GYW11201907738);Paulo R.F.Rocha acknowledges the support and funding from the European Research Council(ERC)under the European Union’s Horizon 2020 Research and Innovation Program(Grant Agreement No.947897).
Ultra-high voltage(UHV)transmission lines are an important part of China’s power grid and are often surrounded by a complex electromagnetic environment.The ground total electric field is considered a main electromagn...
关键词：DC transmission line total electric field effective data multivariable outliers LOF algorithm Stacking algorithm 
An Insight Survey on Sensor Errors and Fault Detection Techniques in Smart Spaces
《Computer Modeling in Engineering & Sciences》2024年第3期2029-2059,共31页Sheetal Sharma Kamali Gupta DeepaliGupta Shalli Rani Gaurav Dhiman 
The widespread adoption of the Internet of Things (IoT) has transformed various sectors globally, making themmore intelligent and connected. However, this advancement comes with challenges related to the effectiveness...
关键词：ERROR fault detection techniques sensor faults OUTLIERS Internet of Things 
Robust Correlation Clustering Problem with Locally Bounded Disagreements
《Tsinghua Science and Technology》2024年第1期66-75,共10页Sai Ji Min Li Mei Liang Zhenning Zhang 
This work was supported by the Science and Technology Project of Hebei Education Department(No.BJK2023076);the National Natural Science Foundation of China(Nos.12101594,12001025,and 12131003);the Natural Science Foundation of Shandong Province of China(No.ZR2020MA029).
Min-max disagreements are an important generalization of the correlation clustering problem(CorCP).It can be defined as follows.Given a marked complete graph G=(V,E),each edge in the graph is marked by a positive labe...
关键词：min-max disagreements OUTLIERS PENALTIES approximation algorithm LP-rounding 
Fair k-Center Problem with Outliers on Massive Data
《Tsinghua Science and Technology》2023年第6期1072-1084,共13页Fan Yuan Luhong Diao Donglei Du Lei Liu 
This work was supported by the National Natural Science Foundation of China(Nos.12131003,11771386,and 11728104);the Beijing Natural Science Foundadtion Project(No.Z200002);the General Research Projects of Beijing Educations Committee in China(No.KM201910005013);the Natural Sciences and Engineering Research Council of Canada(NSERC)(No.06446);the General Program of Science and Technology Development Project of Beijing Municipal Education Commission(No.KM201810005005).
The clustering problem of big data in the era of artificial intelligence has been widely studied.Because of the huge amount of data,distributed algorithms are often used to deal with big data problems.The distributed ...
关键词：machine learning distributed algorithm fairness constraints outlier constraints k-center problem 
Robust Two-Stage Estimation in General Spatial Dynamic Panel Data Models被引量：1
《Journal of Systems Science & Complexity》2023年第6期2580-2604,共25页DING Hao JIN Baisuo WU Yuehua 
supported by the Natural Sciences and Engineering Research Council of Canada under Grant No.RGPIN-2017-05720;the National Natural Science Foundation under Grant Nos.12201601,71873128,11571337,71631006,and 71921001;the Anhui Provincial Natural Science Foundation under Grant No.2208085QA06。
This paper proposes a robust two-stage estimation procedure for a general spatial dynamic panel data model in light of the two-stage estimation procedure in Jin,et al.(2020).The authors replace the least squares estim...
关键词：Asymptotic normality CONSISTENCY M-ESTIMATION model selection OUTLIERS 
Robust Model Averaging Method Based on LOF Algorithm
《Communications in Mathematical Research》2023年第3期386-413,共28页Fan Wang Kang You Guohua Zou 
supported by the National Natural Science Foundation of China (Grant Nos.11971323,12031016).
Model averaging is a good alternative to model selection,which can deal with the uncertainty from model selection process and make full use of the information from various candidate models.However,most of the existing...
关键词：OUTLIERS LOF algorithm robust model averaging asymptotic optimality CONSISTENCY 
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