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

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

1st ed. 2016

Paperback (03 Sep 2015)

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Publisher's 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.

Book information

ISBN: 9783319222936
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
Edition: 1st ed. 2016
DEWEY: 551.571
DEWEY edition: 23
Language: English
Number of pages: 48
Weight: 1066g
Height: 235mm
Width: 155mm
Spine width: 3mm