{"title":"支持环境流行病学数据分析的空间数据立方体概念","authors":"V. Kamp, L. Sitzmann, Frank Wietek","doi":"10.1109/SSDM.1997.621161","DOIUrl":null,"url":null,"abstract":"The project CARLOS (Cancer Registry Lower-Saxony) developed the Epidemiological and Statistical Data Exploration System (CARESS) to support multidimensional analysis of health data. The system is based on an architecture that focuses on extensive interoperability between a database management system and several analysis and visualisation tools. As spatial and statistical aspects of the data play an important role, CARESS provides special support for the integration of both.","PeriodicalId":159935,"journal":{"name":"Proceedings. Ninth International Conference on Scientific and Statistical Database Management (Cat. No.97TB100150)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A spatial data cube concept to support data analysis in environmental epidemiology\",\"authors\":\"V. Kamp, L. Sitzmann, Frank Wietek\",\"doi\":\"10.1109/SSDM.1997.621161\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The project CARLOS (Cancer Registry Lower-Saxony) developed the Epidemiological and Statistical Data Exploration System (CARESS) to support multidimensional analysis of health data. The system is based on an architecture that focuses on extensive interoperability between a database management system and several analysis and visualisation tools. As spatial and statistical aspects of the data play an important role, CARESS provides special support for the integration of both.\",\"PeriodicalId\":159935,\"journal\":{\"name\":\"Proceedings. Ninth International Conference on Scientific and Statistical Database Management (Cat. No.97TB100150)\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-08-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. Ninth International Conference on Scientific and Statistical Database Management (Cat. No.97TB100150)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSDM.1997.621161\",\"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. Ninth International Conference on Scientific and Statistical Database Management (Cat. No.97TB100150)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSDM.1997.621161","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A spatial data cube concept to support data analysis in environmental epidemiology
The project CARLOS (Cancer Registry Lower-Saxony) developed the Epidemiological and Statistical Data Exploration System (CARESS) to support multidimensional analysis of health data. The system is based on an architecture that focuses on extensive interoperability between a database management system and several analysis and visualisation tools. As spatial and statistical aspects of the data play an important role, CARESS provides special support for the integration of both.