http://hdl.handle.net/1822/27 DSI http://repositorium.sdum.uminho.pt/retrieve/662 http://hdl.handle.net/1822/27 Pesquisar o canal pesquisa http://repositorium.sdum.uminho.pt/simple-search http://hdl.handle.net/1822/10044 T&iacute;tulo: Filtragem colaborativa de correio electrónico não solicitado<br/><br/>Autor: Machado, Artur; Cortez, Paulo, 1971-; Sousa, Pedro<br/><br/>Resumo: O serviço de correio electrónico assume umacrescente importância na sociedade actual e, em particular, noâmbito dos serviços de comunicação que hoje em dia são alvopreferencial de utilização por parte dos utilizadores da Internet.No entanto, são ainda muitos os desafios que se colocam a esteserviço, nomeadamente no que diz respeito à crescenteproliferação do fenómeno de correio electrónico não solicitado.Desta forma, este trabalho posiciona-se no desenvolvimento deum sistema colaborativo, o qual permite aos utilizadores finaiscontribuir para a obtenção de mecanismos de detecção de spammais eficientes. Isto será realizado através do desenvolvimento deum sistema que possibilite, de uma forma simples e flexível, oenvio de filtros de spam dos utilizadores finais para servidoresespecializados, de modo a tornar possível o acesso e a trocacolaborativa de filtros entre os diferentes utilizadores de rede.Esses filtros serão posteriormente combinados, de diferentesformas, nos clientes dos utilizadores finais, com vista a umamelhoria dos processos de classificação e detecção de spam. http://hdl.handle.net/1822/10042 T&iacute;tulo: Using data mining for wine quality assessment<br/><br/>Autor: Cortez, Paulo, 1971-; Teixeira, Juliana; Cerdeira, António; Almeida, Fernando; Matos, Telmo; Reis, José<br/><br/>Resumo: Certification and quality assessment are crucial issues within the wine industry. Currently, wine quality is mostly assessed by physico- chemical (e.g alcohol levels) and sensory (e.g. human expert evaluation) tests. In this paper, we propose a data mining approach to predict wine preferences that is based on easily available analytical tests at the certifi- cation step. A large dataset is considered with white vinho verde samples from the Minho region of Portugal. Wine quality is modeled under a re- gression approach, which preserves the order of the grades. Explanatory knowledge is given in terms of a sensitivity analysis, which measures the response changes when a given input variable is varied through its do- main. Three regression techniques were applied, under a computationally efficient procedure that performs simultaneous variable and model selec- tion and that is guided by the sensitivity analysis. The support vector machine achieved promising results, outperforming the multiple regres- sion and neural network methods. Such model is useful for understand- ing how physicochemical tests affect the sensory preferences. Moreover, it can support the wine expert evaluations and ultimately improve the production. http://hdl.handle.net/1822/10029 T&iacute;tulo: Modeling wine preferences by data mining from physicochemical properties<br/><br/>Autor: Cortez, Paulo, 1971-; Cerdeira, António; Almeida, Fernando; Matos, Telmo; Reis, José<br/><br/>Resumo: We propose a data mining approach to predict human wine taste preferences that is based on easily available analytical tests at the certification step. A large dataset (when compared to other studies in this domain) is considered, with white and red vinho verde samples (from Portugal). Three regression techniques were applied, un- der a computationally efficient procedure that performs simultaneous variable and model selection. The support vector machine achieved promising results, outper- forming the multiple regression and neural network methods. Such model is useful to support the oenologist wine tasting evaluations and improve wine production. Furthermore, similar techniques can help in target marketing by modeling consumer tastes from niche markets. http://hdl.handle.net/1822/10023 T&iacute;tulo: Finalmente limpinho! Interface física para os meus primeiros contactos com a higiene oral<br/><br/>Autor: Sylla, Cristina; Branco, Pedro<br/><br/>Resumo: Discutimos o ciclo de desenvolvimento de uma interface direccionada para o público infantil, cuja finalidade é a de sensibilizar as crianças para a importância da higiene oral. São relatados os processos de entrevista e observação, a elaboração dos requisitos, desenvolvimento de protótipos e a observação informal da interacção das crianças com o sistema. Observamos que a combinação de elementos multimédia com um objecto físico, concreto proporciona às crianças uma experiência aliciante e é um excelente veículo para a realização de actividades pedagógicas. http://hdl.handle.net/1822/9989 T&iacute;tulo: Streaming contents and RSS feed in a pedagogical environment<br/><br/>Autor: Santos, Henrique Dinis dos; Pereira, T.; Leão, Celina Pinto; Mendes, Isabel; Oliveira, Filomena<br/><br/>Resumo: A group of university teachers have been developing several contents using streaming technology, since it promotes the support of pedagogical activity as a dynamic resource and due to the fact that is oriented to a model of shared learning contents. Now, a new challenge can be stated: the share and the reutilization of these learning contents. Apart from being an enhanced experience only concerning the sharing of knowledge, it promotes a desired partnership inter/intra-department. In this context the RSS technology introduces a new dimension in the access to streaming media contents. The RSS is a format to syndicate contents enabling users to be aware of new contents that are periodically published. The RSS technology, through the use of RSS Aggregators or RSS Readers, help the user to keep up to date all their favourite information sources that provide their contents as RSS feeds. In the scope of the streaming media contents the definition of RSS feeds enable the students to be up to date of new educational resources that are provided by the teacher. Therefore the students instead of checking the updates that are published in several educational information resources can locally see the new resources that are described and provided in the RSS feed. Some preliminaries results are presented and discussed.