{"title":"使用机器学习预测访客","authors":"Kyoungho Son, Yungcheo l Byun, Sang-Joon Lee","doi":"10.1109/ICIIBMS.2018.8549960","DOIUrl":null,"url":null,"abstract":"With the advance of machine learning and deep learning, lots of applications have been implemented so far. Prediction is one of them, which has been drawing lots of interests from researchers. In this paper, we implemented the method to predict visitors in a certain tourism place using machine learning. From our experiments, we could get some positive results showing its applicability in a real environment.","PeriodicalId":430326,"journal":{"name":"2018 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"34 15","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prediction of Visitors using Machine Learning\",\"authors\":\"Kyoungho Son, Yungcheo l Byun, Sang-Joon Lee\",\"doi\":\"10.1109/ICIIBMS.2018.8549960\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the advance of machine learning and deep learning, lots of applications have been implemented so far. Prediction is one of them, which has been drawing lots of interests from researchers. In this paper, we implemented the method to predict visitors in a certain tourism place using machine learning. From our experiments, we could get some positive results showing its applicability in a real environment.\",\"PeriodicalId\":430326,\"journal\":{\"name\":\"2018 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)\",\"volume\":\"34 15\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIIBMS.2018.8549960\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIIBMS.2018.8549960","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
With the advance of machine learning and deep learning, lots of applications have been implemented so far. Prediction is one of them, which has been drawing lots of interests from researchers. In this paper, we implemented the method to predict visitors in a certain tourism place using machine learning. From our experiments, we could get some positive results showing its applicability in a real environment.