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ICDE
2010
IEEE
227views Database» more  ICDE 2010»
15 years 4 months ago
Incorporating partitioning and parallel plans into the SCOPE optimizer
— Massive data analysis on large clusters presents new opportunities and challenges for query optimization. Data partitioning is crucial to performance in this environment. Howev...
Jingren Zhou, Per-Åke Larson, Ronnie Chaiken
ITCC
2005
IEEE
15 years 3 months ago
The Grid-DBMS: Towards Dynamic Data Management in Grid Environments
Nowadays many data grid applications need to manage and process a huge amount of data distributed across multiple grid nodes and stored into heterogeneous databases. Grids encoura...
Giovanni Aloisio, Massimo Cafaro, Sandro Fiore, Ma...
GIS
2009
ACM
15 years 2 months ago
A multidimensional model representing continuous fields in spatial data warehouses
Data warehouses and On-Line Analytical Processing (OLAP) provide an analysis framework supporting the decision making process. In many application domains, complex analysis tasks ...
Alejandro A. Vaisman, Esteban Zimányi
COLT
2000
Springer
15 years 2 months ago
Model Selection and Error Estimation
We study model selection strategies based on penalized empirical loss minimization. We point out a tight relationship between error estimation and data-based complexity penalizatio...
Peter L. Bartlett, Stéphane Boucheron, G&aa...
VLDB
1999
ACM
89views Database» more  VLDB 1999»
15 years 1 months ago
Physical Data Independence, Constraints, and Optimization with Universal Plans
We present an optimization method and algorithm designed for three objectives: physical data independence, semantic optimization, and generalized tableau minimization. The method ...
Alin Deutsch, Lucian Popa, Val Tannen