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Books > Professional & Technical > Civil engineering, surveying & building > Building construction & materials > Conservation of buildings & building materials

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Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions (Paperback, 1st ed. 2016) Loot Price: R735
Discovery Miles 7 350
Repayment Terms: R69 pm x 12*
You Save: R1,111 (60%)
Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions (Paperback, 1st ed. 2016): Nuno M.M....

Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions (Paperback, 1st ed. 2016)

Nuno M.M. Ramos, Joao M. P. Q. Delgado, Ricardo M S F Almeida, Maria L Simoes, Sofia Manuel

Series: SpringerBriefs in Applied Sciences and Technology

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List price R1,846 Loot Price R735 Discovery Miles 7 350 | Repayment Terms: R69 pm x 12* You Save R1,111 (60%)

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: SpringerBriefs in Applied Sciences and Technology
Release date: August 2015
First published: 2016
Authors: Nuno M.M. Ramos • Joao M. P. Q. Delgado • Ricardo M S F Almeida • Maria L Simoes • Sofia Manuel
Dimensions: 235 x 155 x 3mm (L x W x T)
Format: Paperback
Pages: 48
Edition: 1st ed. 2016
ISBN-13: 978-3-319-22293-6
Categories: Books > Professional & Technical > Mechanical engineering & materials > Materials science > General
Books > Professional & Technical > Civil engineering, surveying & building > Building construction & materials > Conservation of buildings & building materials
Books > Computing & IT > Applications of computing > Databases > Data mining
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LSN: 3-319-22293-7
Barcode: 9783319222936

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