{"title":"环境场景的数据挖掘和集成","authors":"V. Tran, L. Hluchý, O. Habala","doi":"10.1145/1852611.1852622","DOIUrl":null,"url":null,"abstract":"In this paper we describe our work on the framework for integration and mining of environmental data. We present a suite of selected scenarios which are created within a data mining and integration framework being developed in the project ADMIRE. The scenarios have been chosen for their suitability for data mining by environmental experts which deal with meteorological and hydrological problems, and apply the chosen solutions to pilot areas within Slovakia. The main challenge is that the environmental data required by scenarios are maintained and provided by different organizations and are often in different formats. We present our approach to the specification and execution of data integration tasks, which deals with the distributed nature and heterogeneity of required data resources.","PeriodicalId":388053,"journal":{"name":"Proceedings of the 1st Symposium on Information and Communication Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Data mining and integration for environmental scenarios\",\"authors\":\"V. Tran, L. Hluchý, O. Habala\",\"doi\":\"10.1145/1852611.1852622\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we describe our work on the framework for integration and mining of environmental data. We present a suite of selected scenarios which are created within a data mining and integration framework being developed in the project ADMIRE. The scenarios have been chosen for their suitability for data mining by environmental experts which deal with meteorological and hydrological problems, and apply the chosen solutions to pilot areas within Slovakia. The main challenge is that the environmental data required by scenarios are maintained and provided by different organizations and are often in different formats. We present our approach to the specification and execution of data integration tasks, which deals with the distributed nature and heterogeneity of required data resources.\",\"PeriodicalId\":388053,\"journal\":{\"name\":\"Proceedings of the 1st Symposium on Information and Communication Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1st Symposium on Information and Communication Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1852611.1852622\",\"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 of the 1st Symposium on Information and Communication Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1852611.1852622","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data mining and integration for environmental scenarios
In this paper we describe our work on the framework for integration and mining of environmental data. We present a suite of selected scenarios which are created within a data mining and integration framework being developed in the project ADMIRE. The scenarios have been chosen for their suitability for data mining by environmental experts which deal with meteorological and hydrological problems, and apply the chosen solutions to pilot areas within Slovakia. The main challenge is that the environmental data required by scenarios are maintained and provided by different organizations and are often in different formats. We present our approach to the specification and execution of data integration tasks, which deals with the distributed nature and heterogeneity of required data resources.