浅析多级OLAP
Analyse multigraduelle OLAP
摘要：
决策系统是基于多维数据库，提高联机分析处理分析。本文介绍了一种新的OLAP操作名为“BLEND”进行多阶段分析。该操作在查询过程中转换多维结构，以便根据各种粒度级别分析度量，这些粒度级别被重新组织为单个参数。我们研究了严格层次结构的上下文中的操作的有效组合。第一个实验在R-OLAP框架中实现了该操作，显示了该操作的轻微成本。
英文摘要：
Decisional systems are based on multidimensional databases improving OLAP analyses. The paper describes a new OLAP operator named "BLEND" to perform multigradual analyses. The operation transforms multidimensional structures during querying in order to analyse measures according to various granularity levels, which are reorganised into a single parameter. We study valid combinations of the operation in the context of strict hierarchies. First experimentations implement the operation in an R-OLAP framework showing the slight cost of this operation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
