{"title":"用Chernoff面法分析韩国16个广域地方自治团体的公共图书馆运作与使用","authors":"Young-Seok Kim","doi":"10.4275/KSLIS.2017.51.1.271","DOIUrl":null,"url":null,"abstract":"This study aims to conduct a big data analysis of public library operations and uses of 16 metropolitan local government of Korea by using the Chernoff face method. This study is the first to use the Chernoff face method for big data analysis of library services in library and information research. The association of variables and human facial features was decided by survey.","PeriodicalId":179590,"journal":{"name":"Journal of The Korean Society for Library and Information Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analysis of Public Library Operations and Uses of 16 Metropolitan Local Governments of Korea by Using the Chernoff Face Method\",\"authors\":\"Young-Seok Kim\",\"doi\":\"10.4275/KSLIS.2017.51.1.271\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aims to conduct a big data analysis of public library operations and uses of 16 metropolitan local government of Korea by using the Chernoff face method. This study is the first to use the Chernoff face method for big data analysis of library services in library and information research. The association of variables and human facial features was decided by survey.\",\"PeriodicalId\":179590,\"journal\":{\"name\":\"Journal of The Korean Society for Library and Information Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of The Korean Society for Library and Information Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4275/KSLIS.2017.51.1.271\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The Korean Society for Library and Information Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4275/KSLIS.2017.51.1.271","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of Public Library Operations and Uses of 16 Metropolitan Local Governments of Korea by Using the Chernoff Face Method
This study aims to conduct a big data analysis of public library operations and uses of 16 metropolitan local government of Korea by using the Chernoff face method. This study is the first to use the Chernoff face method for big data analysis of library services in library and information research. The association of variables and human facial features was decided by survey.