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| Autore: |
Ramos Nuno M.M
|
| 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
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Edizione: | 1st ed. 2016. |
| Descrizione fisica: | 1 online resource (56 p.) |
| Disciplina: | 620.8 |
| Soggetto topico: | Buildings - Repair and reconstruction |
| Buildings—Repair and reconstruction | |
| Building 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 ![]() |
| 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 |
| Opac: | Controlla la disponibilità qui |