{"title":"基于关联规则的居民出行调查数据处理与分析","authors":"Xu Tie","doi":"10.1109/ICIE.2010.267","DOIUrl":null,"url":null,"abstract":"To enhance the processing depth and practicability of residents travel survey data, choose the residents travel survey data of Fuzhou as data sets. Conducting pre-processing, use association rules algorithm to mine the characteristics of residents’ travel mode choice and the influence factors, some meaningful rules were obtained. Provide a scientific basis for regulation establishment and policies control.","PeriodicalId":353239,"journal":{"name":"2010 WASE International Conference on Information Engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Processing and Analysis of Residents Travel Survey Data Based on Association Rules\",\"authors\":\"Xu Tie\",\"doi\":\"10.1109/ICIE.2010.267\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To enhance the processing depth and practicability of residents travel survey data, choose the residents travel survey data of Fuzhou as data sets. Conducting pre-processing, use association rules algorithm to mine the characteristics of residents’ travel mode choice and the influence factors, some meaningful rules were obtained. Provide a scientific basis for regulation establishment and policies control.\",\"PeriodicalId\":353239,\"journal\":{\"name\":\"2010 WASE International Conference on Information Engineering\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-08-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 WASE International Conference on Information Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIE.2010.267\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 WASE International Conference on Information Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIE.2010.267","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Processing and Analysis of Residents Travel Survey Data Based on Association Rules
To enhance the processing depth and practicability of residents travel survey data, choose the residents travel survey data of Fuzhou as data sets. Conducting pre-processing, use association rules algorithm to mine the characteristics of residents’ travel mode choice and the influence factors, some meaningful rules were obtained. Provide a scientific basis for regulation establishment and policies control.