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La lectura de mañana jueves 4 de abril se retrasa a las 12:00,  en la B-225 defiende su proyecto fin de carrera Adrián Pérez, estáis todos invitados.

Título:  MINERÍA DE DATOS APLICADA A LA PREDICCIÓN DE FALLOS EN UN SISTEMA DE MANTENIMIENTO FERROVIARIO

Autor: Adrián Pérez Orozco

Resumen: 

Este proyecto  presenta el resultado del proyecto Trainmining, realizado por el Grupo de Sistemas Inteligentes junto con Thales España. El proyecto consiste en el desarrollo e implementaci ́on de un sistema de predicción de fallos para una red de mantenimiento ferroviario, mediante la aplicación de técnicas de minería de datos.En concreto, el objetivo del proyecto es ser capaz de predecir eventos futuros en la red ferroviaria (correspondientes a alertas y fallos de diversos sistemas) basándonos en los eventos que hayan ocurrido hasta el momento.  El proyecto aplica el algoritmo SPADE para la obtención de reglas de predicción de alarmas, y ha desarrollado un prototipo para la evaluación de dicas reglas en tiempo real.

Mañana miércoles 20 de febrero a las 17:00 en el salón de Grados defiende la tesis Adam.

Título:  Semantic Technologies in Idea Management Systems: A Model for Interoperability, Linking and Filtering

Autor: Adam Westerski

Hora: 17:00

Lugar Salón de Grados

Resumen

Idea Management Systems are web applications that implement the notion of open innovation though crowdsourcing. Typically, organizations use those kind of systems to connect to large communities in order to gather ideas for improvement of products or services. Originating from simple suggestion boxes, Idea Management Systems advanced beyond collecting ideas and aspire to be a knowledge management solution capable to select best ideas via collaborative as well as expert assessment methods. In practice, however, the contemporary systems still face a number of problems usually related to information overflow and recognizing questionable quality of submissions with reasonable time and effort allocation. This thesis focuses on idea assessment problem area and contributes a number of solutions that allow to filter, compare and evaluate ideas submitted into an Idea Management System. With respect to Idea Management System interoperability the thesis proposes theoretical model of Idea Life Cycle and formalizes it as the Gi2MO ontology which enables to go beyond the boundaries of a single system to compare and assess innovation in an organization wide or market wide context. Furthermore, based on the ontology, the thesis builds a number of solutions for improving idea assessment via: community opinion analysis (MARL), annotation of idea characteristics (Gi2MO Types) and study of idea relationships (Gi2MO Links). The main achievements of the thesis are: application of theoretical innovation models for practice of Idea Management to successfully recognize the differentiation between communities, opinion metrics and their recognition as a new tool for idea assessment, discovery of new relationship types between ideas and their impact on idea clustering. Finally, the thesis outcome is establishment of Gi2MO Project that serves as an incubator for Idea Management solutions and mature open-source software alternatives for the widely available commercial suites. From the academic point of view the project delivers resources to undertake experiments in the Idea Management Systems area and managed to become a forum that gathered a number of academic and industrial partners.

Estáis todos invitados a la lectura

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