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Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions / / by Nuno M.M. Ramos, João M.P.Q. Delgado, Ricardo M.S.F. Almeida, Maria L. Simões, Sofia Manuel



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Autore: Ramos Nuno M.M Visualizza persona
Titolo: Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions / / by Nuno M.M. Ramos, João M.P.Q. Delgado, Ricardo M.S.F. Almeida, Maria L. Simões, Sofia Manuel Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Edizione: 1st ed. 2016.
Descrizione fisica: 1 online resource (56 p.)
Disciplina: 620.8
Soggetto topico: Building repair
Buildings—Repair and reconstruction
Structural materials
Data mining
Building Repair and Maintenance
Structural Materials
Data Mining and Knowledge Discovery
Persona (resp. second.): DelgadoJoão M.P.Q
AlmeidaRicardo M.S.F
SimõesMaria L
ManuelSofia
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references at the end of each chapters.
Nota di contenuto: Introduction -- Indoor hygrothermal conditions -- Data mining techniques -- Case Study -- Application of data mining techniques -- Conclusions.
Sommario/riassunto: The main benefit of the book is that it explores available methodologies for both conducting in-situ measurements and adequately exploring the results, based on a case study that illustrates the benefits and difficulties of concurrent methodologies. The case study corresponds to a set of 25 social housing dwellings where an extensive in situ measurement campaign was conducted. The dwellings are located in the same quarter of a city. Measurements included indoor temperature and relative humidity, with continuous log in different rooms of each dwelling, blower-door tests and complete outdoor conditions provided by a nearby weather station. The book includes a variety of scientific and engineering disciplines, such as building physics, probability and statistics and civil engineering. It presents a synthesis of the current state of knowledge for benefit of professional engineers and scientists.
Titolo autorizzato: Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions  Visualizza cluster
ISBN: 3-319-22294-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910254182603321
Lo trovi qui: Univ. Federico II
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Serie: SpringerBriefs in Applied Sciences and Technology, . 2191-530X