{"title":"一种基于粒子群算法的物化视图选择算法","authors":"Xia Sun, Ziqiang Wang","doi":"10.1109/IWISA.2009.5072711","DOIUrl":null,"url":null,"abstract":"To efficiently tackle materialized view selection problem in designing data warehouse, an efficient view selection algorithm based on particle swarm optimization(PSO) is proposed in this paper. The experimental results demonstrate that the proposed algorithm achieves much better performance than heuristic algorithm and genetic algorithm. Keywordsmaterialized views selection; particle swarm optimization(PSO); data warehouse","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":"20 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"42","resultStr":"{\"title\":\"An Efficient Materialized Views Selection Algorithm Based on PSO\",\"authors\":\"Xia Sun, Ziqiang Wang\",\"doi\":\"10.1109/IWISA.2009.5072711\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To efficiently tackle materialized view selection problem in designing data warehouse, an efficient view selection algorithm based on particle swarm optimization(PSO) is proposed in this paper. The experimental results demonstrate that the proposed algorithm achieves much better performance than heuristic algorithm and genetic algorithm. Keywordsmaterialized views selection; particle swarm optimization(PSO); data warehouse\",\"PeriodicalId\":6327,\"journal\":{\"name\":\"2009 International Workshop on Intelligent Systems and Applications\",\"volume\":\"20 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"42\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Workshop on Intelligent Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWISA.2009.5072711\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWISA.2009.5072711","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Efficient Materialized Views Selection Algorithm Based on PSO
To efficiently tackle materialized view selection problem in designing data warehouse, an efficient view selection algorithm based on particle swarm optimization(PSO) is proposed in this paper. The experimental results demonstrate that the proposed algorithm achieves much better performance than heuristic algorithm and genetic algorithm. Keywordsmaterialized views selection; particle swarm optimization(PSO); data warehouse