Use this link to cite:
http://hdl.handle.net/2183/34079 Patrones AIS de transporte: detección de irregularidades en redes complejas
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Seoane González, Diego
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Universidade da Coruña. Facultade de Informática
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Abstract
[Resumen]: Este proyecto busca crear una herramienta que ayude a investigadores y analistas a comprender y analizar las redes globales de transporte marítimo. Se pretende facilitar la visualización de la gran cantidad de movimientos de barcos entre puertos generando rutas simbólicas sobre un mapa geográfico. Además, se busca agilizar y automatizar la gestión de dichos datos implementando procesos de ingesta masiva, limpieza, modificación y actualización. Durante el proyecto se emplearán tecnologías maduras y confiables como Java, React, MySql o RabbitMq, además de a una arquitectura de micro-servicios que prima el rendimiento y la escalabilidad. Todo esto, unido a un buen diseño y buenas prácticas logrará que el sistema desarrollado sea robusto y sencillo de ampliar y mantener
[Abstract]: This project aims to create a tool to help researchers and analysts understand and analyse global maritime transport networks. The aim is to facilitate the visualisation of the large number of ship movements between ports by generating symbolic routes on a geographical map. In addition, it seeks to streamline and automate the management of this data by implementing mass ingestion, cleansing, modification and updating processes. During the project, mature and reliable technologies such as Java, React, MySql or RabbitMq will be used, as well as a micro-services architecture that prioritises performance and scalability. All this, together with a good design and good practices will make the developed system robust and easy to extend and maintain.
[Abstract]: This project aims to create a tool to help researchers and analysts understand and analyse global maritime transport networks. The aim is to facilitate the visualisation of the large number of ship movements between ports by generating symbolic routes on a geographical map. In addition, it seeks to streamline and automate the management of this data by implementing mass ingestion, cleansing, modification and updating processes. During the project, mature and reliable technologies such as Java, React, MySql or RabbitMq will be used, as well as a micro-services architecture that prioritises performance and scalability. All this, together with a good design and good practices will make the developed system robust and easy to extend and maintain.
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