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

• Κύριοι συγγραφείς: Ramos, Nuno M.M (Συγγραφέας), Delgado, João M.P.Q (Συγγραφέας), Almeida, Ricardo M.S.F (Συγγραφέας), Simões, Maria L. (Συγγραφέας), Manuel, Sofia (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Έκδοση: 1st ed. 2016.
• Σειρά: SpringerBriefs in Applied Sciences and Technology,
• Θέματα: 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...

Πίνακας περιεχομένων:

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