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Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions (SpringerBriefs in Applied Sciences and Technology)

De (autor) , , , ,
Notă GoodReads:
en Limba Engleză Paperback – 03 Sep 2015
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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Specificații

ISBN-13: 9783319222936
ISBN-10: 3319222937
Pagini: 100
Ilustrații: X, 48 p. 21 illus., 2 illus. in color.
Dimensiuni: 155 x 235 x 3 mm
Greutate: 0.11 kg
Ediția: 1st ed. 2016
Editura: Springer
Colecția Springer
Seria SpringerBriefs in Applied Sciences and Technology

Locul publicării: Cham, Switzerland

Public țintă

Research

Cuprins

Introduction.- Indoor hygrothermal conditions.- Data mining techniques.- Case Study.- Application of data mining techniques.- Conclusions.

Caracteristici

Explores available methodologies for both conducting in-situ measurements and adequately explore the results
Involves a variety of scientific and engineering disciplines, such as building physics, probability and statistics and civil engineering
Offers a synthesis of the current state of knowledge for benefit of professional engineers and scientists
Includes supplementary material: sn.pub/extras