International audienceBased on a construction of the power set of the fact table schemes, this paper presents an approach to represent and to compute data cubes using a prefix tree structure for the storage of cuboids. Though the approach is simple, the experimental results show that it is efficient in run time and storage space
This paper presents a general methodology for the efficient parallelization of existing data cube co...
International audienceGiven a relational fact table R, we call a base of data cubes on R a structure...
available at www.springerlink.com ***Note: Figures may be missing from this format of the document C...
International audienceBased on a construction of the power set of the fact table schemes, this paper...
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...
BST Condensed Cube is a fully computed cube that condenses those tuples, which are aggregated from t...
International audience—Many existing approaches to data cube computation search for the group-by par...
Abstract: The goal of this article is to depict algorithms and new approach of creating data cube ef...
All of the existing (iceberg) cube computation algorithms assume that the data is stored in a single...
Most data cube compression approaches focused on reducing the cube size but overlooked preserving t...
Abstract — Big data is serious problem from last few years. Big data hold great promises for discove...
Abstract — Efficient computation of aggregations plays important role in Data Warehouse systems. Mul...
International audienceDatacubes are especially useful for answering efficiently queries on data ware...
Data cube plays an important role in multi-dimensional, multi-level data analysis. Meeting on-line a...
This paper presents a general methodology for the efficient parallelization of existing data cube co...
International audienceGiven a relational fact table R, we call a base of data cubes on R a structure...
available at www.springerlink.com ***Note: Figures may be missing from this format of the document C...
International audienceBased on a construction of the power set of the fact table schemes, this paper...
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...
BST Condensed Cube is a fully computed cube that condenses those tuples, which are aggregated from t...
International audience—Many existing approaches to data cube computation search for the group-by par...
Abstract: The goal of this article is to depict algorithms and new approach of creating data cube ef...
All of the existing (iceberg) cube computation algorithms assume that the data is stored in a single...
Most data cube compression approaches focused on reducing the cube size but overlooked preserving t...
Abstract — Big data is serious problem from last few years. Big data hold great promises for discove...
Abstract — Efficient computation of aggregations plays important role in Data Warehouse systems. Mul...
International audienceDatacubes are especially useful for answering efficiently queries on data ware...
Data cube plays an important role in multi-dimensional, multi-level data analysis. Meeting on-line a...
This paper presents a general methodology for the efficient parallelization of existing data cube co...
International audienceGiven a relational fact table R, we call a base of data cubes on R a structure...
available at www.springerlink.com ***Note: Figures may be missing from this format of the document C...
Add to ORKG