{"title":"使用PVMA算法进行规则发现","authors":"Yan Xue-song, Cai Zhi-hua","doi":"10.1109/PDCAT.2003.1236429","DOIUrl":null,"url":null,"abstract":"Data mining is becoming increasingly important since the size of database grows even larger and the need to explore hidden rules from the database becomes widely recognized. We present PVMA algorithm, a parallel a priori algorithm that uses parallel virtual machine (PVM) to discovery rules in database. This algorithm exploits the data parallelism, by distributing the data being mined across all available processors.","PeriodicalId":145111,"journal":{"name":"Proceedings of the Fourth International Conference on Parallel and Distributed Computing, Applications and Technologies","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Rule discovery with PVMA algorithm\",\"authors\":\"Yan Xue-song, Cai Zhi-hua\",\"doi\":\"10.1109/PDCAT.2003.1236429\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data mining is becoming increasingly important since the size of database grows even larger and the need to explore hidden rules from the database becomes widely recognized. We present PVMA algorithm, a parallel a priori algorithm that uses parallel virtual machine (PVM) to discovery rules in database. This algorithm exploits the data parallelism, by distributing the data being mined across all available processors.\",\"PeriodicalId\":145111,\"journal\":{\"name\":\"Proceedings of the Fourth International Conference on Parallel and Distributed Computing, Applications and Technologies\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Fourth International Conference on Parallel and Distributed Computing, Applications and Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PDCAT.2003.1236429\",\"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 Fourth International Conference on Parallel and Distributed Computing, Applications and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDCAT.2003.1236429","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data mining is becoming increasingly important since the size of database grows even larger and the need to explore hidden rules from the database becomes widely recognized. We present PVMA algorithm, a parallel a priori algorithm that uses parallel virtual machine (PVM) to discovery rules in database. This algorithm exploits the data parallelism, by distributing the data being mined across all available processors.