Supporting Compression and Accuracy in Multidimensional OLAP Data Cubes

Prelegent(ci)

Alfredo Cuzzocrea

Afiliacja

University of Calabria

Termin

25 maja 2012 14:15

Pokój

p. 5820

Seminarium

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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