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dc.contributor.authorFernández-Garcı́a, Antonio Jesús
dc.contributor.authorIribarne Martínez, Luis Fernando 
dc.contributor.authorCorral Liria, Antonio Leopoldo 
dc.contributor.authorWang, James Z. 
dc.date.accessioned2017-11-13T10:20:31Z
dc.date.available2017-11-13T10:20:31Z
dc.date.issued2015
dc.identifier.urihttp://hdl.handle.net/10835/5292
dc.description.abstractNowadays users access information services at any time and in any place. Providing an intelligent user interface which adapts dynamically to the users’ requirements is essential in information systems. Conventionally, systems are constructed at the design time according to an initial structure and requirements. The effect of the passage of time and changes in users, applications and environment is that the systems cannot always satisfy the user’s requirements. In this paper a methodology is proposed to allow mashup user interfaces to be intelligent and evolve over time by using computational techniques like machine learning over huge amounts of heterogeneous data, known as big data, and model-driven engineering techniques as model transformations. The aim is to generate new ways of adapting the interface to the user’s needs, using information about user’s interaction and the environment.es_ES
dc.language.isoeses_ES
dc.relationinfo:eu-repo/grantAgreement/ES/MINECO/TIN2013-41576-R/ES/Evolución de sistemas dinámicos en la nube: Un escenario marco hacia las interfaces de usuario inteligentes/ESDNEMIUIes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceIn On the Move to Meaningful Internet Systems: OTM 2015. Int. Workshop on Information Systems in Distributed Systems (ISDE), Rhodes, Greece, October 26-30, 2015, LNCS 9416, pp 401-410, 2015, Springer. ISSN: 0302-9743. http://doi.org/10.1007/978-3-319-26138-6_43es_ES
dc.titleEvolving Mashup Interfaces using a Distributed Machine Learning and Model Transformation Methodologyes_ES
dc.typeinfo:eu-repo/semantics/bookes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.relation.projectIDTIN2013-41576-Res_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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