During the last few years, On-Line Analytical Processing (OLAP) has emerged as a valuable tool for the analysis, navigation and reporting of hierarchically organized data from data warehouses. Still, it remains a challenging task to implement and deploy an OLAP system, since no standardized architecture exists, which describes the common components and functionality of OLAP systems. Additionall...

Recently, a large number of XML documents are available on the Internet. This trend motivated many researchers to analyze them multi-dimensionally in the same way as relational data. In this paper, we propose a new framework for multidimensional analysis of XML documents, which we call XML-OLAP. We base XML-OLAP on XML warehouses where every fact data as well as dimension data are stored as XML...

In this paper, we present SISYPHUS, a storage manager for data cubes that provides an efficient physical base for performing OLAP operations. On-Line Analytical Processing (OLAP) poses new requirements to the physical storage layer of a database management system. Special characteristics of OLAP cubes such as multidimensionality, hierarchical structure of dimensions, data sparseness, etc., are ...

Data warehouses and OLAP engines are expected to be widely available in the near future. The data in data warehouses has been cleansed, integrated, and preprocessed, and infrastructures have been built surrounding data warehouses for e cient data analysis. Therefore, data warehouses or OLAP databases are expected to be a major platform for data mining in the future. We discuss the issues relate...

The paper discusses the methods to apply OLAP techniques for multidimensional databases that leverage the existing, performance-enhancing technique, known as practical pre-aggregation, by making this technique relevant to a much wider range of medical applications, as a logistic support to the data warehousing techniques. The transformations have practically low computational complexity and the...

To exploit the full potential of the spatial and temporal dimensions of a data warehouse, new tools are needed. It has been shown that OLAP possesses a certain potential to support spatio-temporal analysis. However, without a spatial interface for viewing and manipulating the geometric component of the spatial data, the analysis may be incomplete. A new category of OLAP tools, SOLAP (Spatial OL...

Los sistemas de inteligencia de negocios tienen como elemento clave de su arquitectura a los almacenes de datos o datawarehouses (DW). Un DW es una base de datos histórica, orientada a temas y satisfacer indicadores de gestión, diseñada para ser eficiente en las consultas, no en las actualizaciones (como es el caso de las bases de datos relacionales que soportan los sistemas de información tran...

A constraint-based framework for computing privacy preserving OLAP aggregations on data cubes is proposed and experimentally assessed in this paper. Our framework introduces a novel privacy OLAP notion, which, following consolidated paradigms of OLAP research, looks at the privacy of aggregate patterns defined on multidimensional ranges rather than the privacy of individual tuples/data-cells, l...

An OLAP analysis can be defined as an interactive session during which an user launches queries over a data warehouse. The launched queries are often interdependent, and they can be either newly defined queries or they can be existing ones that are browsed and reused. Moreover, in a collaborative environment, queries may be shared among users. This notion of OLAP analysis has never been formall...

The data warehousing and OLAP technologies are now moving onto handling complex data that mostly originate from the Web. However, intagrating such data into a decision-support process requires their representation under a form processable by OLAP and/or data mining techniques. We present in this paper a complex data warehousing methodology that exploits XML as a pivot language. Our approach inc...