一种基于粒子群算法的物化视图选择算法

2009 International Workshop on Intelligent Systems and Applications Pub Date : 2009-05-23 DOI:10.1109/IWISA.2009.5072711

Xia Sun, Ziqiang Wang

{"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":null,"pages":null},"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\":null,\"pages\":null},\"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}

引用次数: 42

摘要

为了有效地解决数据仓库设计中的物化视图选择问题，提出了一种基于粒子群优化(PSO)的高效视图选择算法。实验结果表明，该算法比启发式算法和遗传算法具有更好的性能。关键词物化视图选择;粒子群优化(PSO);数据仓库

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

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

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2009 International Workshop on Intelligent Systems and Applications

自引率

0.00%

发文量

期刊最新文献

Intelligent Systems and Applications: Select Proceedings of ICISA 2022 Selecting Accurate Classifier Models for a MERS-CoV Dataset A Method of Same Frequency Interference Elimination Based on Adaptive Notch Filter Research on Work-in-Progress Control System of Integrating PI and SPC Study on A Novel Fuzzy PLL and Its Application