{"title":"Intelligent Analysis Framework of Power Marketing Big Data based on Multi-Dimensional KNN Algorithm","authors":"Yaoyu Wang, Chen Tan, Chengfei Qi, Hongzhang Xiong","doi":"10.1109/ICSMDI57622.2023.00082","DOIUrl":null,"url":null,"abstract":"Intelligent analysis framework of power marketing big data based on multi-dimensional KNN algorithm is the main focus of this paper. Through the review, it is evident that the information mining algorithm needs two important parameters, the number of clusters and weight index. If the number of clusters is less than the total number of the clustered samples, it means that the data mining is meaningless. Hence, to achieve the goal of designing an efficient model, the time series and KNN are combined to construct the efficient model. Power companies can connect to the different power supply stations through general mobile broadband networks and also achieve the efficient marketing network. Hence, this paper uses these collected data to conduct smart analysis framework of power marketing big data based on the multi-dimensional analysis. Through the comprehensive systematic design, the model is evaluated through the efficient analysis.","PeriodicalId":373017,"journal":{"name":"2023 3rd International Conference on Smart Data Intelligence (ICSMDI)","volume":"2004 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 3rd International Conference on Smart Data Intelligence (ICSMDI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSMDI57622.2023.00082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Intelligent analysis framework of power marketing big data based on multi-dimensional KNN algorithm is the main focus of this paper. Through the review, it is evident that the information mining algorithm needs two important parameters, the number of clusters and weight index. If the number of clusters is less than the total number of the clustered samples, it means that the data mining is meaningless. Hence, to achieve the goal of designing an efficient model, the time series and KNN are combined to construct the efficient model. Power companies can connect to the different power supply stations through general mobile broadband networks and also achieve the efficient marketing network. Hence, this paper uses these collected data to conduct smart analysis framework of power marketing big data based on the multi-dimensional analysis. Through the comprehensive systematic design, the model is evaluated through the efficient analysis.