{"title":"应用程序","authors":"Jinxu Guo, Hao Ding","doi":"10.1109/JCAI.2009.222","DOIUrl":null,"url":null,"abstract":"With the progress of water supply company reform, the enterprise's leaders eager to optimize the productivity by strengthening the information management in order to improve the competition ability, there is a problem of the difference between supply and sale in lots of water supply company. For this reason, this paper proposes a method: first building a data warehouse based on GIS, and next, making data mining with Data Mining technology based on the data warehouse for dinning out the area of the distinct difference.","PeriodicalId":373421,"journal":{"name":"IITA International Joint Conference on Artificial Intelligence","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application\",\"authors\":\"Jinxu Guo, Hao Ding\",\"doi\":\"10.1109/JCAI.2009.222\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the progress of water supply company reform, the enterprise's leaders eager to optimize the productivity by strengthening the information management in order to improve the competition ability, there is a problem of the difference between supply and sale in lots of water supply company. For this reason, this paper proposes a method: first building a data warehouse based on GIS, and next, making data mining with Data Mining technology based on the data warehouse for dinning out the area of the distinct difference.\",\"PeriodicalId\":373421,\"journal\":{\"name\":\"IITA International Joint Conference on Artificial Intelligence\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IITA International Joint Conference on Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/JCAI.2009.222\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IITA International Joint Conference on Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JCAI.2009.222","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
With the progress of water supply company reform, the enterprise's leaders eager to optimize the productivity by strengthening the information management in order to improve the competition ability, there is a problem of the difference between supply and sale in lots of water supply company. For this reason, this paper proposes a method: first building a data warehouse based on GIS, and next, making data mining with Data Mining technology based on the data warehouse for dinning out the area of the distinct difference.