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

✍ Scribed by Nuno M.M. Ramos, João M.P.Q. Delgado, Ricardo M.S.F. Almeida, Maria L. Simões, Sofia Manuel (auth.)

Publisher: Springer International Publishing
Year: 2016
Tongue: English
Leaves: 56
Series: SpringerBriefs in Applied Sciences and Technology
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ 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.

✦ Table of Contents

Front Matter....Pages i-x
Introduction....Pages 1-3
Indoor Hygrothermal Conditions....Pages 5-12
Data Mining Techniques....Pages 13-30
Case Study....Pages 31-36
Application of Data Mining Techniques....Pages 37-45
Conclusions....Pages 47-48

✦ Subjects

Building Repair and Maintenance; Structural Materials; Data Mining and Knowledge Discovery

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