Multidimensional databases have become very popular for decision making frameworks. In this context, huge amounts of data are stored in data warehouses and decision makers try and navigate through this data using OLAP tools in order to visualize and analyze it. Although navigating through the data is one of the key issues, many issues are still open, and users are still not provided with intell...

This paper presents a multidimensional conceptual Object-Oriented model, its structures, integrity constraints and query operations. It has been developed as an extension of UML core metaclasses to facilitate its usage, as well as to avoid the introduction of completely new concepts. YAM2 allows the representation of several semantically related star schemas, as well as summarizability and iden...

During the past decade, data warehousing has been widely adopted in the business community. It provides multidimensional analyses on cumulated historical business data for helping contemporary administrative decision-making. Nevertheless, it is believed that only about 20% information can be extracted from data warehouses concerning numeric data only, the other 80% information is hidden in non-...

Both numerical and analytical models of coupled atmosphere and its underlying ground components (land, ocean, ice) are useful tools for modeling the global and regional water cycle. Unlike complex three-dimensional climate models, which need very large computing resources and involve a large number of complicated interactions often difficult to interpret, analytical models are able to provide m...

Despite many theorists’ assertions and researchers’ findings that eating disturbances have personal, sociocultural, and relational correlates, no model of eating disorder symptomatology incorporating all 3 of these domains has been proposed. The purpose of this study, then, was to examine empirically such a model. Personal, sociocultural, and relational variables were chosen, based on their sol...

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...

The paper is concerned with the integration of building performance simulation within a collaborative/ multidisciplinary higher-education environment. The paper presents a semester-long setup in which a course attended by both architecture and engineering students and jointly taught by an architect and an engineer ultimately collaborate with an undergraduate architecture design studio on propos...

Resumen Un Almacén de Datos (Data Warehouse, DW) es un sistema de información complejo utilizado principalmente en el proceso de toma de decisiones mediante el uso de las aplicaciones de Procesamiento Analítico en Línea (On-Line Analytical Processing, OLAP). Hasta el momento, se han propuesto varias aproximaciones para acometer el diseño de las distintas partes de un DW como pueden ser los esqu...

The recent introduction of a spate of data access applications, such as OLAP and data mining tools, has led to an increased interest on the part of both scholars and practitioners on how best to use and benefit from these tools. This paper reports on six exploratory case studies involving eight decision-makers and seven endusers. A process model based on the Value Chain is proposed and explaine...

In prioritising investment in natural capital, site-scale indicators are increasingly used to capture finescale variation inherent in complex ecosystems. However, site assessment is costly, has high skill demand, and is time-consuming. We assess the marginal gain associated with including site-scale indicators in metrics typically used by agri-environmental stewardship schemes and payments for ...