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DEXA
2009
Springer
175views Database» more  DEXA 2009»
14 years 24 days 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
DOLAP
2005
ACM
13 years 8 months ago
Goal-oriented requirement analysis for data warehouse design
Several surveys indicate that a significant percentage of data warehouses fail to meet business objectives or are outright failures. One of the reasons for this is that requireme...
Paolo Giorgini, Stefano Rizzi, Maddalena Garzetti
DOLAP
2003
ACM
13 years 11 months ago
Hierarchical dwarfs for the rollup cube
The data cube operator exemplifies two of the most important aspects of OLAP queries: aggregation and dimension hierarchies. In earlier work we presented Dwarf, a highly compress...
Yannis Sismanis, Antonios Deligiannakis, Yannis Ko...
DOLAP
2008
ACM
13 years 8 months ago
Solving summarizability problems in fact-dimension relationships for multidimensional models
Multidimensional analysis allows decision makers to efficiently and effectively use data analysis tools, which mainly depend on multidimensional (MD) structures of a data warehous...
Jose-Norberto Mazón, Jens Lechtenbörge...
EDBT
1998
ACM
124views Database» more  EDBT 1998»
13 years 10 months ago
Maintaining Temporal Views over Non-Temporal Information Sources for Data Warehousing
An importantuse of data warehousing is to provide temporal views over the history of source data that may itself be non-temporal. While recent work in view maintenance is applicab...
Jun Yang 0001, Jennifer Widom