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

• Main Authors: Ramos, Nuno M.M (Author), Delgado, João M.P.Q (Author), Almeida, Ricardo M.S.F (Author), Simões, Maria L. (Author), Manuel, Sofia (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Edition: 1st ed. 2016.
• Series: SpringerBriefs in Applied Sciences and Technology,
• Subjects: Engineering.; Data mining.; Building repair.; Buildings > Repair and reconstruction.; Structural materials.; Building Repair and Maintenance.; Structural Materials.; Data Mining and Knowledge Discovery.

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 h...

Table of Contents:

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