Mineração de Preferências Condicionais

• Ano de defesa: 2011
• Autor(a) principal: Silva, Nádia Félix Felipe da
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Uberlândia; BR; Programa de Pós-graduação em Ciência da Computação; Ciências Exatas e da Terra; UFU
• Palavras-chave em Português: Banco de dados; Mineração de dados (Computação); Mineração de preferências; Preferências condicionais; Redes bayesianas; Redes de preferências; Preference mining; Condicional preferences; Bayesian networks; Preference networks; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: https://repositorio.ufu.br/handle/123456789/12510

Content customization on queries to databases through the use of user's preferences is a research topic that has been raising a lot of interest within the database community in recent years. Such preferences are used for sorting and selecting the best tuples, those which most fulll the user's wishes. A topic of interest within this context is the elicitation of preferences, consisting of methods to enable the user to inform his choice on pairs of objects belonging to a database. This task may require a great eort from the user, depending on the size of the database, a fact that may discourage the use of the system by the user. In this work, we propose a methodology to infer user preferences in an automatic way through the task of mining, from a sample set of user preferences. The algorithm was designed to mine a special type of preferences called conditional preferences. The method we propose is based on the framework of Bayesian Belief Networks, a very ecient formalism for modeling situations involving uncertainty.