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Neighborhood based multidimensional data model for olap.
| Content Provider | CiteSeerX |
|---|---|
| Author | Bentayeb, Fadila Boussaid, Omar Nicoloyannis, Nicolas |
| Abstract | . In the area of \On Line Analytical Processing" (OLAP), the concept of multidimensional databases is receiving much popularity. Indeed, OLAP allows to model data in a multidimensional way like a data cube in order to look for the data from many dierent perspectives. The purpose of this paper is to establish a new framework based on a neighborhood approach to restructure multidimensional data. This restructuration is formally dened using a concept of neighborhood. The multidimensional data are formalized as points dened by their coordinates (dimensions) and their values (measures) and a neighborhood is a set of points built according to one or more dimensions. Moreover, we show that each computable neighborhood corresponds to some analysis space and coincides with a relational view denition. The OLAP operators are then redened in this data model with respect to the neighborhood semantics concept. One of the advantages of our neighborhood approach is to facilitate the... |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Multidimensional Data Model Multidimensional Data Neighborhood Approach Neighborhood Semantics Concept Data Cube Multidimensional Way Data Model Analysis Space Much Popularity Many Dierent Perspective Line Analytical Processing Multidimensional Database Relational View Denition Computable Neighborhood Corresponds New Framework Olap Operator |
| Content Type | Text |
| Resource Type | Article |
