International audience—This paper presents a simple approach to represent data cubes that allows efficient computing, querying and updating. The representation is based on (i) a recursive construction of the power set of the scheme of the fact table and (ii) a prefix tree structure for the compact storage of cuboids. The experimental results on large real datasets show that the approach is efficient in run time, storage space, and for incremental update
available at www.springerlink.com ***Note: Figures may be missing from this format of the document C...
Abstract — Efficient computation of aggregations plays important role in Data Warehouse systems. Mul...
Decision support applications involve complex queries on very large databases. Since response times ...
International audience—This paper presents a simple approach to represent data cubes that allows eff...
International audience—This paper presents an approach to data cube representation that allows for e...
International audienceBased on a construction of the power set of the fact table schemes, this paper...
Most data cube compression approaches focused on reducing the cube size but overlooked preserving t...
Abstract. A common operation involved with the majority of algo-rithms relevant to On-Line Analytica...
Abstract: The goal of this article is to depict algorithms and new approach of creating data cube ef...
BST Condensed Cube is a fully computed cube that condenses those tuples, which are aggregated from t...
International audienceWe call a base of data cubes a structure that allows to compute data cube quer...
Abstract — Big data is serious problem from last few years. Big data hold great promises for discove...
International audience—Many existing approaches to data cube computation search for the group-by par...
International audienceGiven a relational fact table R, we call a base of data cubes on R a structure...
International audienceDatacubes are especially useful for answering efficiently queries on data ware...
available at www.springerlink.com ***Note: Figures may be missing from this format of the document C...
Abstract — Efficient computation of aggregations plays important role in Data Warehouse systems. Mul...
Decision support applications involve complex queries on very large databases. Since response times ...
International audience—This paper presents a simple approach to represent data cubes that allows eff...
International audience—This paper presents an approach to data cube representation that allows for e...
International audienceBased on a construction of the power set of the fact table schemes, this paper...
Most data cube compression approaches focused on reducing the cube size but overlooked preserving t...
Abstract. A common operation involved with the majority of algo-rithms relevant to On-Line Analytica...
Abstract: The goal of this article is to depict algorithms and new approach of creating data cube ef...
BST Condensed Cube is a fully computed cube that condenses those tuples, which are aggregated from t...
International audienceWe call a base of data cubes a structure that allows to compute data cube quer...
Abstract — Big data is serious problem from last few years. Big data hold great promises for discove...
International audience—Many existing approaches to data cube computation search for the group-by par...
International audienceGiven a relational fact table R, we call a base of data cubes on R a structure...
International audienceDatacubes are especially useful for answering efficiently queries on data ware...
available at www.springerlink.com ***Note: Figures may be missing from this format of the document C...
Abstract — Efficient computation of aggregations plays important role in Data Warehouse systems. Mul...
Decision support applications involve complex queries on very large databases. Since response times ...