{"title":"数据挖掘在流行旅游套餐设计中的应用","authors":"B. Al-Salim","doi":"10.1109/EIT.2005.1627017","DOIUrl":null,"url":null,"abstract":"We developed a strategy to design a travel package with the most popular and appropriate elements for the traveler; at the same time, this strategy minimizes the operation and processing costs of the travel agency. Association rules as a data mining technique is implemented to develop this model. We rely on the available massive travel agency database to make essential decisions related to the optimality of designing the travel package. A heuristic algorithm is an approach used to solve the final model. An illustrative numerical example based on a made-up data set is also provided","PeriodicalId":358002,"journal":{"name":"2005 IEEE International Conference on Electro Information Technology","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Data mining application in designing popular and optimal travel packages\",\"authors\":\"B. Al-Salim\",\"doi\":\"10.1109/EIT.2005.1627017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We developed a strategy to design a travel package with the most popular and appropriate elements for the traveler; at the same time, this strategy minimizes the operation and processing costs of the travel agency. Association rules as a data mining technique is implemented to develop this model. We rely on the available massive travel agency database to make essential decisions related to the optimality of designing the travel package. A heuristic algorithm is an approach used to solve the final model. An illustrative numerical example based on a made-up data set is also provided\",\"PeriodicalId\":358002,\"journal\":{\"name\":\"2005 IEEE International Conference on Electro Information Technology\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 IEEE International Conference on Electro Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EIT.2005.1627017\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE International Conference on Electro Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIT.2005.1627017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data mining application in designing popular and optimal travel packages
We developed a strategy to design a travel package with the most popular and appropriate elements for the traveler; at the same time, this strategy minimizes the operation and processing costs of the travel agency. Association rules as a data mining technique is implemented to develop this model. We rely on the available massive travel agency database to make essential decisions related to the optimality of designing the travel package. A heuristic algorithm is an approach used to solve the final model. An illustrative numerical example based on a made-up data set is also provided
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