Title | ||
---|---|---|
Data cubes retrieval and design in OLAP systems: from query analysis to visualisation tool. |
Abstract | ||
---|---|---|
Business intelligence systems provide an effective solution from large volumes of data for multidimensional online computing and analysis. Usually, in a decision-making process, organisations and enterprises, require several internal and/or external cubes which are often heterogeneous. Most of the time, the structure of these cubes is unknown to the decision-makers. To analyse a phenomenon, the decision-maker seeks among sets of cubes, in a collection, the cube which responds better to his need. In this context, we propose an approach that enables decision-makers to express their needs via a query expressed in a natural language, returns top-K relevant cubes and designs/constructs new cubes when no, or few deployed cubes are relevant. We propose a tool called RD-cubes-query implementing our approach in a ROLAP architecture. We use this tool in some experiments to validate our approach. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1504/IJBIDM.2019.096813 | IJBIDM |
Field | DocType | Volume |
Data mining,Architecture,Visualization,Computer science,Natural language,ROLAP,Online analytical processing,Business intelligence,Data cube,Cube | Journal | 14 |
Issue | Citations | PageRank |
1/2 | 0 | 0.34 |
References | Authors | |
0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rahma Djiroun | 1 | 0 | 0.68 |
Kamel Boukhalfa | 2 | 138 | 20.77 |
Z. Alimazighi | 3 | 49 | 18.28 |