Self-tuning cost modeling of user-defined functions in an object-relational DBMS
ACM Transactions on Database Systems (TODS)
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
Improving range-sum query evaluation on data cubes via polynomial approximation
Data & Knowledge Engineering
Approximate range---sum query answering on data cubes with probabilistic guarantees
Journal of Intelligent Information Systems
Compressed hierarchical binary histograms for summarizing multi-dimensional data
Knowledge and Information Systems
Experimenting the Query Performance of a Grid-Based Sensor Network Data Warehouse
Globe '08 Proceedings of the 1st international conference on Data Management in Grid and Peer-to-Peer Systems
Multiple-Objective Compression of Data Cubes in Cooperative OLAP Environments
ADBIS '08 Proceedings of the 12th East European conference on Advances in Databases and Information Systems
H-IQTS: a semantics-aware histogram for compressing categorical OLAP data
IDEAS '08 Proceedings of the 2008 international symposium on Database engineering & applications
AlphaSum: size-constrained table summarization using value lattices
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Enabling OLAP in mobile environments via intelligent data cube compression techniques
Journal of Intelligent Information Systems
Reducing metadata complexity for faster table summarization
Proceedings of the 13th International Conference on Extending Database Technology
Journal of Intelligent Information Systems
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Event-based lossy compression for effective and efficient OLAP over data streams
Data & Knowledge Engineering
A quad-tree based multiresolution approach for two-dimensional summary data
Information Systems
Information Sciences: an International Journal
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches
Foundations and Trends in Databases
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OLAP(On-Line Analytical Processing) servers usually precompute data cubes to improve the response time of possible aggregate queries over cuboids with different grouping attributes. To reduce the huge size of a sparse data cube, the base single tuples ...