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Graph constrained label propagation on water supply networks

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Graph constrained label propagation on water supply networks

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dc.contributor.author Herrera Fernández, Antonio Manuel es_ES
dc.contributor.author Ramos Martínez, Eva es_ES
dc.contributor.author Izquierdo Sebastián, Joaquín es_ES
dc.contributor.author Pérez García, Rafael es_ES
dc.date.accessioned 2016-05-17T11:18:13Z
dc.date.available 2016-05-17T11:18:13Z
dc.date.issued 2015
dc.identifier.issn 0921-7126
dc.identifier.uri http://hdl.handle.net/10251/64241
dc.description.abstract In many real-world applications we have at our disposal a limited number of inputs in a theoretical database with full information, and another part of experimental data with incomplete knowledge for some of their features. These are cases that can be addressed by a label propagation process. It is a widely studied approach that may acquire complexity if new constraints in the new unlabeled data that should be taken into account are found. This is the case of the membership to a group or community in graphs. The proposal is to add the Laplacian matrix as well as another different similarity measures (may be not found in the original database) in the label propagation. A kernel embedding process together with a simple label propagation algorithm will be the main tools to achieve this approach by the use of all types of available information. In order to test the functionality of this new proposal, this work introduces an experimental study of biofilm development in drinking water pipes. Then, a label propagation through pipes belonging to a complete water supply network is approached. These pipes have their own properties depending on their network location and environmental co-variables. As a result, the proposal is a suitable and efficient way to deal with practical data, based on previous theoretical studies by the constrained label propagation process introduced. es_ES
dc.language Inglés es_ES
dc.publisher IOS Press es_ES
dc.relation.ispartof AI Communications es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Label propagation es_ES
dc.subject Semi-supervised learning es_ES
dc.subject Kernel methods es_ES
dc.subject Water supply networks es_ES
dc.subject.classification ECOLOGIA es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.subject.classification INGENIERIA HIDRAULICA es_ES
dc.title Graph constrained label propagation on water supply networks es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3233/AIC-140618
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.description.bibliographicCitation Herrera Fernández, AM.; Ramos Martinez, E.; Izquierdo Sebastián, J.; Pérez García, R. (2015). Graph constrained label propagation on water supply networks. AI Communications. 28(1):47-53. doi:10.3233/AIC-140618 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.3233/AIC-140618 es_ES
dc.description.upvformatpinicio 47 es_ES
dc.description.upvformatpfin 53 es_ES
dc.type.version info:eu repo/semantics/publishedVersion es_ES
dc.description.volume 28 es_ES
dc.description.issue 1 es_ES
dc.relation.senia 298707 es_ES


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