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Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions

Record Type:	Language materials, printed : Monograph/item
Title/Author:	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.
Author:	Ramos, Nuno M.M.
other author:	Delgado, João M.P.Q.
Description:	X, 48 p. 21 illus., 2 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Building repair. -
Online resource:	https://doi.org/10.1007/978-3-319-22294-3
ISBN:	9783319222943

Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions
Ramos, Nuno M.M.

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. - 1st ed. 2016. - X, 48 p. 21 illus., 2 illus. in color.online resource. - SpringerBriefs in Applied Sciences and Technology,2191-530X. - SpringerBriefs in Applied Sciences and Technology,.

Introduction -- 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.

ISBN: 9783319222943

Standard No.: 10.1007/978-3-319-22294-3doiSubjects--Topical Terms:

1254762
Building repair.

LC Class. No.: TH3301-3411

Dewey Class. No.: 690.24

Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions
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