{"title":"基于大数据分析和改进线性回归模型的房价数学预测方法","authors":"Xinyu Yang, Zesheng Yin, Jiayi Li","doi":"10.1109/TOCS53301.2021.9688839","DOIUrl":null,"url":null,"abstract":"Housing price prediction is a typical case of exploratory data analysis. This article takes housing prices in a certain city in the United States as an example, and uses a variety of linear models to predict and analyze the trend of housing prices. Based on Spark, we have implemented a distributed housing price prediction analysis model. Through the comparison of multiple linear models, we find out the best linear analysis model with the best prediction results.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Housing Price Mathematical Prediction Method through Big Data Analysis and Improved Linear Regression Model\",\"authors\":\"Xinyu Yang, Zesheng Yin, Jiayi Li\",\"doi\":\"10.1109/TOCS53301.2021.9688839\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Housing price prediction is a typical case of exploratory data analysis. This article takes housing prices in a certain city in the United States as an example, and uses a variety of linear models to predict and analyze the trend of housing prices. Based on Spark, we have implemented a distributed housing price prediction analysis model. Through the comparison of multiple linear models, we find out the best linear analysis model with the best prediction results.\",\"PeriodicalId\":360004,\"journal\":{\"name\":\"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TOCS53301.2021.9688839\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TOCS53301.2021.9688839","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Housing Price Mathematical Prediction Method through Big Data Analysis and Improved Linear Regression Model
Housing price prediction is a typical case of exploratory data analysis. This article takes housing prices in a certain city in the United States as an example, and uses a variety of linear models to predict and analyze the trend of housing prices. Based on Spark, we have implemented a distributed housing price prediction analysis model. Through the comparison of multiple linear models, we find out the best linear analysis model with the best prediction results.