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 Djiroun100.68
Kamel Boukhalfa213820.77
Z. Alimazighi34918.28