{"title":"数据挖掘与C4.5和交互式地图可视化","authors":"G. Andrienko, N. Andrienko","doi":"10.1109/UIDIS.1999.791473","DOIUrl":null,"url":null,"abstract":"We consider application of techniques of knowledge discovery in databases (KDD) to spatially referenced data. We propose to combine such techniques with various methods of interactive classification of spatial objects supported by map displays. Maps help us both to prepare source data for KDD procedures and to interpret results of their application. The latter function is realized through dynamic linking of spatial and non-spatial displays.","PeriodicalId":319239,"journal":{"name":"Proceedings User Interfaces to Data Intensive Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"34","resultStr":"{\"title\":\"Data mining with C4.5 and interactive cartographic visualization\",\"authors\":\"G. Andrienko, N. Andrienko\",\"doi\":\"10.1109/UIDIS.1999.791473\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider application of techniques of knowledge discovery in databases (KDD) to spatially referenced data. We propose to combine such techniques with various methods of interactive classification of spatial objects supported by map displays. Maps help us both to prepare source data for KDD procedures and to interpret results of their application. The latter function is realized through dynamic linking of spatial and non-spatial displays.\",\"PeriodicalId\":319239,\"journal\":{\"name\":\"Proceedings User Interfaces to Data Intensive Systems\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"34\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings User Interfaces to Data Intensive Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UIDIS.1999.791473\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings User Interfaces to Data Intensive Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UIDIS.1999.791473","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data mining with C4.5 and interactive cartographic visualization
We consider application of techniques of knowledge discovery in databases (KDD) to spatially referenced data. We propose to combine such techniques with various methods of interactive classification of spatial objects supported by map displays. Maps help us both to prepare source data for KDD procedures and to interpret results of their application. The latter function is realized through dynamic linking of spatial and non-spatial displays.
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