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Document type:
Technical Report 
Author(s):
Markl Volker; Ramsak Frank; Bayer Rudolf 
Title:
Improving OLAP Performance by Multidimensional Hierarchical Clustering 
Abstract:
Data-warehousing applications cope with enormous data sets in the range of Gigabytes and Terabytes. Queries usually either select a very small set of this data or perform aggregations on a fairly large data set. Materialized views storing pre-computed aggregates are used to efficiently process queries with aggregations. This approach increases resource requirements in disk space and slows down updates because of the view maintenance problem. Multidimensional hierarchical clustering of OLAP data...    »
 
Keywords:
UB-Tree; hierarchy encoding; OLAP; Data Warehousing; Multidimensional Clustering; Hierarchical Clustering; Performance 
Year:
2000 
Year / month:
2000-03-01 00:00:00 
Pages:
26