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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 ... [et al.].
other author:	Ramos, Nuno M.M.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	x, 48 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Indoor air quality. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-22294-3
ISBN:	9783319222943

Application of data mining techniques in the analysis of indoor hygrothermal conditions
Application of data mining techniques in the analysis of indoor hygrothermal conditions[electronic resource] /by Nuno M.M. Ramos ... [et al.]. - Cham :Springer International Publishing :2016. - x, 48 p. :ill., digital ;24 cm. - 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:

1098149
Indoor air quality.

LC Class. No.: TD883.17

Dewey Class. No.: 628.53

Application of data mining techniques in the analysis of indoor hygrothermal conditions
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245 0 0 $a Application of data mining techniques in the analysis of indoor hygrothermal conditions $h [electronic resource] / $c by Nuno M.M. Ramos ... [et al.].
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300 $a x, 48 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in applied sciences and technology, $x 2191-530X
505 0 $a Introduction -- Indoor hygrothermal conditions -- Data mining techniques -- Case Study -- Application of data mining techniques -- Conclusions.
520 $a 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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650 2 4 $a Structural Materials. $3 677176
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
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