{"id":103633,"date":"2018-03-11T10:26:17","date_gmt":"2018-03-11T10:26:17","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/learning-frequent-behaviours-of-the-users-in-intelligent-environments\/"},"modified":"2018-03-11T10:26:17","modified_gmt":"2018-03-11T10:26:17","slug":"learning-frequent-behaviours-of-the-users-in-intelligent-environments","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/inteligencia-artificial\/learning-frequent-behaviours-of-the-users-in-intelligent-environments\/","title":{"rendered":"Learning frequent behaviours of the users in intelligent environments"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Asier Aztiria Goenaga <\/strong><\/h2>\n<p>Los entornos inteligentes (ies) tratan de facilitar las actividades diarias a las personas que se encuentran en dicho entorno. El concepto de entornos inteligentes supone un cambio radical en las relaciones entre los usuarios y la tecnolog\u00eda que posibilita que dicho entorno sea inteligente. El cambio se basa en que se pasa desde una perspectiva centrada en la tecnolog\u00eda a una perspectiva centrada en el usuario. As\u00ed, a diferencia de los sistemas actuales donde el usuario se tiene que adaptar a la tecnolog\u00eda, ahora, es la tecnolog\u00eda la que se adapta a las preferencias, costumbre o gustos del usuario.  as\u00ed, los entornos inteligentes deber\u00e1n de aprender cuales son las comportamientos frecuentes de los usuarios para poder adaptarse a los usuarios y proveer servicios personalizados. En este sentido, la capacidad de aprendizaje se convierte en un requisito indispensable para dichos entornos.  el objetivo de este trabajo de investigaci\u00f3n es desarrollar un sistema que aprende de forma autom\u00e1tica los comportamientos frecuentes de los usuarios de entornos inteligentes. Para ello, se ha dise\u00f1ado y desarrollado el learning frequent patterns of user behaviour system (lfpubs), que teniendo en cuenta todas las particularidades de dichos entornos, descubre tales comportamientos.  el n\u00facleo del lfpubs es la capa de aprendizaje que a diferencia de otros componentes es independiente del entorno donde est\u00e1 siendo aplicado. Dicha capa, por un parte incluye un lenguaje que permite representar los patrones de una forma clara y no ambigua y por otra parte, en concordancia con el lenguaje, incluye el algoritmo que descubre dichos patrones.  finalmente, lfpubs fue validado utilizando los datos recogidos en dos entornos inteligentes reales. Los resultados obtenidos durante esas valoraciones permitieron comprobar que lfpubs era capaz de descubrir los comportamientos frecuentes de los usuarios. Adem\u00e1s, mejoras para futuras versiones del sistema fueron identificadas.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Learning frequent behaviours of the users in intelligent environments<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Learning frequent behaviours of the users in intelligent environments <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Asier Aztiria Goenaga <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Mondrag\u00f3n unibertsitatea<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 14\/09\/2010<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Alberto Izaguirre Altuna<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: ram\u00f3n L\u00f3pez de m\u00e1ntaras bad\u00eda <\/li>\n<li>Carlos Fernando Da silva ramos (vocal)<\/li>\n<li>Jos\u00e9 Javier Yanguas lez\u00e1un (vocal)<\/li>\n<li>diego Lopez de ipi\u00f1a gonzalez de artaza (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Asier Aztiria Goenaga Los entornos inteligentes (ies) tratan de facilitar las actividades diarias a las personas que 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