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Application of data mining technique...

Ramos, Nuno M.M.

Application of data mining techniques in the analysis of indoor hygrothermal conditions

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Application of data mining techniques in the analysis of indoor hygrothermal conditionsby Nuno M.M. Ramos ... [et al.].
其他作者:	Ramos, Nuno M.M.
出版者:	Cham :Springer International Publishing :2016.
面頁冊數:	x, 48 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Indoor air quality.
電子資源:	http://dx.doi.org/10.1007/978-3-319-22294-3
ISBN:	9783319222943$q(electronic bk.)

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$q(electronic bk.)

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

709171
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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505 0 $a Introduction -- Indoor hygrothermal conditions -- Data mining techniques -- Case Study -- Application of data mining techniques -- Conclusions.
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