An important problem in Mineralogy, is to accomplish an adequate representation of a great amount of data coming from different geological environments, in order to characterize a particular geologic region in terms of its tectonic setting. With such Databases of…

The name Lavatera x columbretensis, recently proposed for a hybrid growing in the Columbretes Archipelago (Castellón, E of Spain), is transferred to Malva. Additional data on nomenclature of other related taxa of ‘L. sect. Anthema’ and ‘L. sect. Axolopha’, are…

Knowledge-intensive processes are widely used to recover from errors, handle exceptional cases and complaints, and to improve or adapt a process itself. In this context, evolved Business-Process Reengineering (BPR) techniques are changing to give some answers to this reality. In…

This paper describes an approach to On Line Analytical Processing (OLAP), expresed in the declarative programming paradigm.
We define a collection of functions that capture some of the functionality currently provided by multidimensional database product. This is done by defining…

This paper presents a data structure based on Sparse Spatial Selection (SSS) for similarity searching. An algorithm that tries periodically to adjust pivots to the use of database index is presented. This index is dynamic. In this way, it is…

DATA INTEGRATION IS A PROCESS OF RETRIEVING, MERGING AND STORING OF DATA ORIGINATED IN HETEROGENEOUS SOURCES OF DATA. THE MAIN PROBLEM FACING THE DATA INTEGRATION IS THE STRUCTURAL AND SEMANTIC HETEROGENEITY OF PARTICIPATING DATA. A CONCERN OF RESEARCH COMMUNITIES IN…

Nowadays, data intensive applications are in constant demand and there is need of computing environments with better intelligent capabilities than those present in today's Database Management Systems (DBMS). To build such systems we need formalisms that can perform complicate inferences,…

EL MONITOREO DEL MEDIO AMBIENTE ES UNA DE LAS MUCHAS APLICACIONES DE LAS REDES INALÁMBRICAS DE SENSORES. DADO QUE ESTAS REDES ESTÁN DENSAMENTE POBLADAS Y QUE LAS VARIACIONES LOCALES DE VARIABLES AMBIENTALES SON PEQUEÑAS, LOS NODOS DE SENSADO GENERAN UNA…

IN PATTERN RECOGNITION (FEATURE SELECTION, SUPERVISED CLASSIFICATION, UNSUPERVISED CLASSIFICATON, ETC) DATA MODIFICATIONS ARE VERY COMMON. THIS DUE TO MANY REASONS, FOR EXAMLE: DATA ACQUISITION ERROR FIXING; SPECIALIST CHANGES SAMPLE CLASSIFICATION; ELIMINATION OF SOME DATA; NEW DATA; ETC. THEN, MANY TIME…

HOY EN DÍA, EL USO DE SISTEMAS DE COMUNICACIÓN DIGITALES HA AUMENTADO DE TAL FORMA QUE EL ANCHO DE BANDA EN LAS REDES RESULTA AFECTADO. ESTE PROBLEMA PUEDE SOLUCIONARSE IMPLEMENTANDO ALGORITMOS DE COMPRESIÓN DE DATOS EN DISPOSITIVOS DE COMUNICACIÓN REDUCIENDO…