Articles liés à Application of Data Mining Techniques in the Analysis...

Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions - Couverture souple

Ramos, Nuno M.M.

 
9783319222936: Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions
Couverture souple
ISBN 10 : 3319222937 ISBN 13 : 9783319222936
Editeur : Springer, 2015

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer
Date d'édition
2015
Langue
anglais
ISBN 10 
3319222937
ISBN 13 
9783319222936
Reliure
Broché
Numéro d'édition
1
Nombre de pages
60
Coordonnées du fabricant
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3
Heidelberg
69115
Allemagne