Integrating continuous spatial data into SOLAP systems is a new research challenge. Moreover, representation of field data at different scales or resolutions is often mandatory for an effective analysis. Thus, in this paper, we propose a logical model to integrate spatial dimensions representing incomplete field data at different resolutions in a classical SOLAP architecture.

Korean government now establishes a new strategic ten-year plan that will cover the period from 2006 through 2015. In this paper, we prioritize the relative weights of energy technologies in terms of the national greenhouse gas plan using the AHP/DEA hybrid model. This model, which is composed of the analytic hierarchy process and data envelopment analysis, represents one of the multi-criteria ...

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To enhance patient safety, data about actual clinical events must be collected and scrutinized. This paper has two purposes. First, it provides an overview of some of the methods available to collect and analyze retrospective data about medical errors, near misses, and other relevant patient safety events. Second, it introduces a methodological approach that focuses on non-routine events (NRE),...

The huge amount of data made available by the technologies for sequencing the human genome calls for sophisticated and automated analysis techniques. In this direction, the GOLAM framework has been developed within the scope of the GenData 2020 Project to enable multiresolution analysis and mining of matches between genomic regions. In this paper we show how the GOLAM framework can be used for ...

The joint analysis of spatial and genetic data is rapidly becoming the norm in population genetics. More and more studies explicitly describe and quantify the spatial organization of genetic variation and try to relate it to underlying ecological processes. As it has become increasingly difficult to keep abreast with the latest methodological developments, we review the statistical toolbox avai...

The convergent validity of ®ve multiattribute weighting methods is studied in an Internet experiment. This is the ®rst experiment where the subjects created the alternatives and attributes themselves. Each subject used ®ve methods to assess attribute weights ± one version of the analytic hierarchy process (AHP), direct point allocation, simple multiattribute rating technique (SMART), swing weig...

This article presents a financial scoring model estimated on Czech corporate accounting data. Seven financial indicators capable of explaining business failure at a 1-year prediction horizon are identified. Using the model estimated in this way, an aggregate indicator of the creditworthiness of the Czech corporate sector is then constructed and its evolution over time is shown. This indicator a...

Landslides, as geological hazards, cause significant casualties and economic losses. Therefore, it is necessary to identify areas prone to landslides for prevention work. This paper proposes an improved information value model based on gray clustering (IVM-GC) for landslide susceptibility mapping. This method uses the information value derived from an information value model to achieve suscepti...