{"title":"The LBF R-Tree","authors":"Todd Eavis","doi":"10.4018/978-1-60566-748-5.CH001","DOIUrl":null,"url":null,"abstract":"Over the past ten to fifteen years, data warehousing (DW) has become increasingly important to organizations of all sizes. In particular, the representation of historical data across broad time frames allows decision makers to monitor evolutionary patterns and trends that would simply not be possible with operational databases alone. However, this accumulation of historical data comes at a price; namely, ABStrAct","PeriodicalId":255230,"journal":{"name":"Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-60566-748-5.CH001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
Over the past ten to fifteen years, data warehousing (DW) has become increasingly important to organizations of all sizes. In particular, the representation of historical data across broad time frames allows decision makers to monitor evolutionary patterns and trends that would simply not be possible with operational databases alone. However, this accumulation of historical data comes at a price; namely, ABStrAct
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