{"title":"图像数据挖掘的并行环境","authors":"A. Mazurkiewicz, H. Krawczyk","doi":"10.1109/PCEE.2002.1115330","DOIUrl":null,"url":null,"abstract":"The utilization of data mining, specially image mining procedures in medical diagnosis, is discussed. The endoscopy examinations are taken into account, and the suitable parallel environment PEIDM to create classification and recommendation functions is proposed. Efficiency and scalability of the environment are analyzed.","PeriodicalId":444003,"journal":{"name":"Proceedings. International Conference on Parallel Computing in Electrical Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A parallel environment for image data mining\",\"authors\":\"A. Mazurkiewicz, H. Krawczyk\",\"doi\":\"10.1109/PCEE.2002.1115330\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The utilization of data mining, specially image mining procedures in medical diagnosis, is discussed. The endoscopy examinations are taken into account, and the suitable parallel environment PEIDM to create classification and recommendation functions is proposed. Efficiency and scalability of the environment are analyzed.\",\"PeriodicalId\":444003,\"journal\":{\"name\":\"Proceedings. International Conference on Parallel Computing in Electrical Engineering\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. International Conference on Parallel Computing in Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PCEE.2002.1115330\",\"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. International Conference on Parallel Computing in Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCEE.2002.1115330","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The utilization of data mining, specially image mining procedures in medical diagnosis, is discussed. The endoscopy examinations are taken into account, and the suitable parallel environment PEIDM to create classification and recommendation functions is proposed. Efficiency and scalability of the environment are analyzed.