{"title":"出行决策建模的预测分析","authors":"R. Keerthi, P. Lakshmi","doi":"10.1109/ICGCIOT.2018.8753103","DOIUrl":null,"url":null,"abstract":"The exponential rise in technologies has opened up a gigantic scope to exploit the data for better decision making. The evolution of social media has contributed humungous information including ratings, reviews and comments. Considering the significance of an efficient predictive analysis model for the tourist destination prediction, in the proposed work robust technologies have been applied to perform the destination prediction. This work contributes to the technique of developing a novel Destination Prediction Model that corresponds to the tourist’s preferences.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predictive Analysis for Modeling Travel Decision Making\",\"authors\":\"R. Keerthi, P. Lakshmi\",\"doi\":\"10.1109/ICGCIOT.2018.8753103\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The exponential rise in technologies has opened up a gigantic scope to exploit the data for better decision making. The evolution of social media has contributed humungous information including ratings, reviews and comments. Considering the significance of an efficient predictive analysis model for the tourist destination prediction, in the proposed work robust technologies have been applied to perform the destination prediction. This work contributes to the technique of developing a novel Destination Prediction Model that corresponds to the tourist’s preferences.\",\"PeriodicalId\":269682,\"journal\":{\"name\":\"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)\",\"volume\":\"102 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICGCIOT.2018.8753103\",\"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 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGCIOT.2018.8753103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Predictive Analysis for Modeling Travel Decision Making
The exponential rise in technologies has opened up a gigantic scope to exploit the data for better decision making. The evolution of social media has contributed humungous information including ratings, reviews and comments. Considering the significance of an efficient predictive analysis model for the tourist destination prediction, in the proposed work robust technologies have been applied to perform the destination prediction. This work contributes to the technique of developing a novel Destination Prediction Model that corresponds to the tourist’s preferences.