简介：Approximatequeryprocessinghasemergedasanapproachtodealingwiththehugedatavolumeandcomplexqueriesintheenvironmentofdatawarehouse.Inthispaper,wepresentanovelmethodthatprovidesapproximateanswerstoOLAPqueries.Ourmethodisbasedonbuildingacompressed(approximate)datacubebyaclusteringtechniqueandusingthiscompresseddatacubetoprovideanswerstoqueriesdirectly,soitimprovestheperformanceofthequeries.WealsoprovidethealgorithmoftheOLAPqueriesandtheconfidenceintervalsofqueryresults.AnextensiveexperimentalstudywiththeOLAPcouncilbenchmarkshowstheeffectivenessandscalabilityofourcluster-basedapproachcomparedtosampling.

简介：企业数据的与日剧增,如何有效的整合企业数据,如何实现准确并且高效的分析,是数据仓库在企业管理应用中面临的重要问题。本文基于联机在线分析(On-LineAnalyticalProcessing,OLAP)技术,该技术是基于数据立方体,从不同维度对企业的数据进行分析,企业管理人员可以全面的了解企业数据信息,从而提高企业的决策管理效率。