Supporting Compression and Accuracy in Multidimensional OLAP Data Cubes

Speaker(s)

Alfredo Cuzzocrea

Affiliation

University of Calabria

Date

May 25, 2012, 2:15 p.m.

Room

room 5820

Seminar

Research Seminar of the Logic Group: Approximate reasoning in data mining

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In this talk, we will present some techniques for 
supporting compression and accuracy in multidimensional OLAP data cubes. The 
proposed techniques can be efficiently used in Quality-of-Answer-based OLAP 
tools, where OLAP users/applications and Data Warehouse servers are allowed to 
mediate on the compression and accuracy of (approximate) answers. Two techniques 
are presented: LCS-Hist (EDBT’09), which is able to deal with high-dimensional 
data cubes, and D-Syn (SSDBM’06), which exploits an analytical interpretation of 
data cubes for making the intrinsic data cube compression more flexible.

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