D. Marks, Elias Ioup, J. Sample, M. Abdelguerfi, Fady Qaddoura
{"title":"超大METOC数据集中的时空知识发现","authors":"D. Marks, Elias Ioup, J. Sample, M. Abdelguerfi, Fady Qaddoura","doi":"10.1109/NSS.2010.61","DOIUrl":null,"url":null,"abstract":"A system allowing for the efficient processing and viewing of dense METOC data sets stored in Network Common Data Format (netted) files is developed using advanced bitmap indexing. A method for netted data extraction and bitmap index creation is presented. Efficient geospatial range and pseudo-KNN queries are implemented. A two step filtering algorithm is shown to greatly enhance the speed of these geospatial queries, allowing for extremely efficient processing of the netted data.","PeriodicalId":127173,"journal":{"name":"2010 Fourth International Conference on Network and System Security","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Spatio-temporal Knowledge Discovery in Very Large METOC Data Sets\",\"authors\":\"D. Marks, Elias Ioup, J. Sample, M. Abdelguerfi, Fady Qaddoura\",\"doi\":\"10.1109/NSS.2010.61\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A system allowing for the efficient processing and viewing of dense METOC data sets stored in Network Common Data Format (netted) files is developed using advanced bitmap indexing. A method for netted data extraction and bitmap index creation is presented. Efficient geospatial range and pseudo-KNN queries are implemented. A two step filtering algorithm is shown to greatly enhance the speed of these geospatial queries, allowing for extremely efficient processing of the netted data.\",\"PeriodicalId\":127173,\"journal\":{\"name\":\"2010 Fourth International Conference on Network and System Security\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Fourth International Conference on Network and System Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NSS.2010.61\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Fourth International Conference on Network and System Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSS.2010.61","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spatio-temporal Knowledge Discovery in Very Large METOC Data Sets
A system allowing for the efficient processing and viewing of dense METOC data sets stored in Network Common Data Format (netted) files is developed using advanced bitmap indexing. A method for netted data extraction and bitmap index creation is presented. Efficient geospatial range and pseudo-KNN queries are implemented. A two step filtering algorithm is shown to greatly enhance the speed of these geospatial queries, allowing for extremely efficient processing of the netted data.
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