{"title":"数据挖掘的并行和分布式计算","authors":"Albert Y. Zomaya, T. El-Ghazawi, O. Frieder","doi":"10.1109/MCC.1999.806974","DOIUrl":null,"url":null,"abstract":"Similar scenarios will occur in other areas: we will see large numbers of radiological images generated in hospitals and immense product and customer databases as the Internet and e-commerce continue to expand.1 Exploring useful information from such data will require efficient parallel algorithms running on high-performance computing systems with powerful parallel I/O capabilities. Without such systems and techniques, invaluable data and information will remain undiscovered. We also need to quantify the time it takes to retrieve pertinent information, for time-critical applications such as credit card fraud detection.2–9 Terms you should know","PeriodicalId":282630,"journal":{"name":"IEEE Concurr.","volume":"477 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Parallel and distributed computing for data mining\",\"authors\":\"Albert Y. Zomaya, T. El-Ghazawi, O. Frieder\",\"doi\":\"10.1109/MCC.1999.806974\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Similar scenarios will occur in other areas: we will see large numbers of radiological images generated in hospitals and immense product and customer databases as the Internet and e-commerce continue to expand.1 Exploring useful information from such data will require efficient parallel algorithms running on high-performance computing systems with powerful parallel I/O capabilities. Without such systems and techniques, invaluable data and information will remain undiscovered. We also need to quantify the time it takes to retrieve pertinent information, for time-critical applications such as credit card fraud detection.2–9 Terms you should know\",\"PeriodicalId\":282630,\"journal\":{\"name\":\"IEEE Concurr.\",\"volume\":\"477 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Concurr.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MCC.1999.806974\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Concurr.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MCC.1999.806974","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parallel and distributed computing for data mining
Similar scenarios will occur in other areas: we will see large numbers of radiological images generated in hospitals and immense product and customer databases as the Internet and e-commerce continue to expand.1 Exploring useful information from such data will require efficient parallel algorithms running on high-performance computing systems with powerful parallel I/O capabilities. Without such systems and techniques, invaluable data and information will remain undiscovered. We also need to quantify the time it takes to retrieve pertinent information, for time-critical applications such as credit card fraud detection.2–9 Terms you should know