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The modern world abounds in simulation models. Thousands of organizations use simulation models to solve business problems. Problems in micro logistics systems are a very important segment of the business problems that c...

Este trabajo presenta una arquitectura conceptual para la combinación de los procesos de Data Warehousing con el Data Mining por medio de objetos simbólicos. En los últimos años, las empresas han recopilado una cant...

A data warehouse efficiently processes a given set of queries by utilizing the multiple materialized views. Owing to the constraint on space and maintenance cost, the materialization of all views is unfeasible. One of th...

El principal objetivo del trabajo es fundamentar la necesidad de contar con un ambiente de Data Warehouse para el análisis de información estratégica inaccesible mediante los sistemas transaccionales actuales (OLTP). ...

Analizamos la problemática del Data Warehouse, la tecnología OLAP para alcanzar la funcionalidad y eficiencia requeridas y estudiamos las características de las bases de datos multidimensionales como una alternativa p...

La tecnología Data Warehousing ha aparecido estos últimos años tras la convergencia entre las nuevas necesidades en el manejo de la información de las empresas y la capacidad que existe para integrar e implementar te...

The selection of distribution center (DC) location is of paramount importance for production systems since an appropriate placement significantly influences transportation costs, delivery lead times, inventory management...

Abstract Positioning and navigation technology is a new trend of research in mobile robot area. Existing researches focus on the indoor industrial problems, while many application fields are in the outdoor environment, w...

"The interest in mobility data analysis has grown dramatically with the wide availability of devices that track the position of moving objects. Mobility analysis can be applied, for example, to analyze traffic flows. To ...

This paper focuses on prediction and prevention of seismic risk through a system for decision making. Data Warehousing and OLAP operations are applied, together with, data mining tools like association rules, decision t...

This paper focuses on prediction and prevention of seismic risk through a system for decision making. Data Warehousing and OLAP operations are applied, together with, data mining tools like association rules, decision tr...

A lo largo de la última década las organizaciones se han esforzado por utilizar mecanismos para automatizar y estandarizar sus procesos. BPM (Gestión de procesos de negocio) ha sido el marco de referencia utilizado pa...

"Online Analytical Processing (OLAP) comprises tools and algorithms that allow querying multidimensional databases. It is based on the multidimensional model, where data can be seen as a cube such that each cell contains...

"In current Big Data scenarios, traditional data warehousing and Online Analytical Processing (OLAP) operations on cubes are clearly not sufficient to address the current data analysis requirements. Nevertheless, OLAP op...