{"title":"物化观对选择成本的比较研究分析","authors":"T. Nalini, Dr. A. Kumaravel, Dr. K. Rangarajan","doi":"10.5121/IJCSES.2012.3102","DOIUrl":null,"url":null,"abstract":"Materialized view selection is one of the most crucial techniques to design data warehouse in an optimal manner. Selecting views to materialize for the purpose of supporting the decision making efficiently is one of the most significant decisions in designing Data Warehouse. Selecting a set of derived views to materialize which minimizes the sum of total query response time and maintenance of the selected views is defined as view selection problem. Selecting a suitable set of views that minimizes the total cost associated with the materialized views is the key objective of data warehousing. In this paper we compare the various research works on several parameters for controlling the selection process and also we compare time, query frequency and spatial cost.","PeriodicalId":415526,"journal":{"name":"International Journal of Computer Science & Engineering Survey","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"A comparative study analysis of materialized view for selection cost\",\"authors\":\"T. Nalini, Dr. A. Kumaravel, Dr. K. Rangarajan\",\"doi\":\"10.5121/IJCSES.2012.3102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Materialized view selection is one of the most crucial techniques to design data warehouse in an optimal manner. Selecting views to materialize for the purpose of supporting the decision making efficiently is one of the most significant decisions in designing Data Warehouse. Selecting a set of derived views to materialize which minimizes the sum of total query response time and maintenance of the selected views is defined as view selection problem. Selecting a suitable set of views that minimizes the total cost associated with the materialized views is the key objective of data warehousing. In this paper we compare the various research works on several parameters for controlling the selection process and also we compare time, query frequency and spatial cost.\",\"PeriodicalId\":415526,\"journal\":{\"name\":\"International Journal of Computer Science & Engineering Survey\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-02-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Computer Science & Engineering Survey\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5121/IJCSES.2012.3102\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Science & Engineering Survey","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/IJCSES.2012.3102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A comparative study analysis of materialized view for selection cost
Materialized view selection is one of the most crucial techniques to design data warehouse in an optimal manner. Selecting views to materialize for the purpose of supporting the decision making efficiently is one of the most significant decisions in designing Data Warehouse. Selecting a set of derived views to materialize which minimizes the sum of total query response time and maintenance of the selected views is defined as view selection problem. Selecting a suitable set of views that minimizes the total cost associated with the materialized views is the key objective of data warehousing. In this paper we compare the various research works on several parameters for controlling the selection process and also we compare time, query frequency and spatial cost.