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DEXA
2009
Springer
175views Database» more  DEXA 2009»
14 years 4 months ago
RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries
Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analyt...
Fadila Bentayeb, Cécile Favre
PODS
2002
ACM
167views Database» more  PODS 2002»
14 years 10 months ago
OLAP Dimension Constraints
In multidimensional data models intended for online analytic processing (OLAP), data are viewed as points in a multidimensional space. Each dimension has structure, described by a...
Carlos A. Hurtado, Alberto O. Mendelzon
ICDM
2008
IEEE
401views Data Mining» more  ICDM 2008»
14 years 4 months ago
Graph OLAP: Towards Online Analytical Processing on Graphs
OLAP (On-Line Analytical Processing) is an important notion in data analysis. Recently, more and more graph or networked data sources come into being. There exists a similar need ...
Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han, Phil...
JDWM
2007
112views more  JDWM 2007»
13 years 9 months ago
Empowering the OLAP Technology to Support Complex Dimension Hierarchies
Comprehensive data analysis has become indispensable in a variety of domains. OLAP (On-Line Analytical Processing) systems tend to perform poorly or even fail when applied to comp...
Svetlana Mansmann, Marc H. Scholl
KDD
1999
ACM
206views Data Mining» more  KDD 1999»
14 years 2 months ago
Compressed Data Cubes for OLAP Aggregate Query Approximation on Continuous Dimensions
Efficiently answering decision support queries is an important problem. Most of the work in this direction has been in the context of the data cube. Queries are efficiently answer...
Jayavel Shanmugasundaram, Usama M. Fayyad, Paul S....