Résumé. Aujourd’hui de plus en plus de données sont disponibles pour une analyse décisionnelle et reposent sur des indicateurs décisionnels. Bien que différentes technologies décisionnelles aient été développées, nous constatons le manque d’un cadre conceptuel pour la définition et l’implémentation de ces indicateurs. Dans ce papier, nous présentons une première classification de ces indicateur...

The emerging concept of multidimensional process mining adopts the ideas of data cubes and OLAP to analyze processes from multiple views. Analysts can split the event log into a set of homogenous sublogs according to its case and event attributes. Process mining techniques are used to create an individual process model for each sublog representing variants of the process. These models can be co...

Résumé. Les entrepôts de données spatiales et les systèmes Spatial OLAP sont des technologies d’aide à la décision permettant l’analyse en ligne des gros jeux de données géo-référencées. Dans un tel type de systèmes, la qualité de l’analyse dépend : de la qualité des données entreposées, de comment les agrégations sont effectuées, et de comment les données entreposées sont explorées. Dans cet a...

Data Warehouses (DWs), Multidimensional (MD) Databases, and On-Line Analytical Processing Applications are used as a very powerful mechanism for discovering crucial business information. Considering the extreme importance of the information managed by these kinds of applications, it is essential to specify security measures from the early stages of the DW design in the MD modeling process, and ...

A data warehouse (DW) is a complex information system primarily used in the decision making process by means of On-Line Analytical Processing (OLAP) applications. Although various methods and approaches have been presented for designing di erent parts of DWs, such as the conceptual and logical schemas or the Extraction-TransformationLoading (ETL) processes, no general and standard method exists...

This chapter is concerned with multidimensional data models for spatial data warehouses. Over the last few years different approaches have been proposed in the literature for modelling multidimensional data with geometric extent. Nevertheless, the definition of a comprehensive and formal data model is still a major research issue. The main contributions of the chapter are twofold: first, it dra...

As XML becomes ubiquitous and XML storage and processing becomes more efficient, the range of use cases for these technologies widens daily. One promising area is the integration of XML and data warehouses, where an XML-native database stores multidimensional data and processes OLAP queries written in the XQuery interrogation language. This paper explores issues arising in the implementation of...

Online Analytical Processing (OLAP) data is frequently organized in the form of multidimensional data cubes each of which is used to examine a set of data values, called measures, associated with multiple dimensions and their multiple levels. In this paper, we first propose a conceptual multidimensional data model, which is able to represent and capture natural hierarchical relationships among ...

The number of On-Line Analytical Processing (OLAP) applications in the market has dramatically increased in the last years. Most of these applications provide their own multidimensional (MD) models to represent main MD properties, thereby making the design totally dependent of the target commercial OLAP application. In this paper, we present a Computer-Aided SoftwareEngineering (CASE) operation...