Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions [electronic resource] / by Nuno M.M. Ramos, João M.P.Q. Delgado, Ricardo M.S.F. Almeida, Maria L. Simões, Sofia Manuel.
By: Ramos, Nuno M.M [author.].
Contributor(s): Delgado, João M.P.Q [author.] | Almeida, Ricardo M.S.F [author.] | Simões, Maria L [author.] | Manuel, Sofia [author.] | SpringerLink (Online service).
Material type: BookSeries: SpringerBriefs in Applied Sciences and Technology: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016.Description: X, 48 p. 21 illus., 2 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319222943.Subject(s): Buildings—Repair and reconstruction | Buildings—Maintenance | Building materials | Data mining | Building Repair and Maintenance | Structural Materials | Data Mining and Knowledge DiscoveryAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 690.24 Online resources: Click here to access onlineIntroduction -- Indoor hygrothermal conditions -- Data mining techniques -- Case Study -- Application of data mining techniques -- Conclusions.
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.
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