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Introduction

Chapter
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Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Abstract

This chapter explains the meaning of Data Mining and presents the motivation to apply it to indoor hygrothermal conditions evaluation since the data collection of connected parameters has increased in recent years due to measuring technology advances.

Keywords

Advanced Measurement Technology Multivariate Data Techniques Basic Statistical Tools Indoor Environmental Quality Large Storage Capacity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Han, J., & Kamber, M. (2006). Data mining: concepts and techniques. Elsevier: Morgan Kaufman.Google Scholar
  2. Hand, D., Mannila, H. & Smyth, P. (2001). Principles of data mining. The MIT Press.Google Scholar

Copyright information

© The Author(s) 2016

Authors and Affiliations

  1. 1.Department of Civil EngineeringUniversity of PortoPortoPortugal
  2. 2.Department of Civil EngineeringUniversity of PortoPortoPortugal
  3. 3.Department of Civil EngineeringPolytechnic Institute of ViseuViseuPortugal
  4. 4.Department of Civil EngineeringUniversity of PortoPortoPortugal
  5. 5.Department of Civil EngineeringUniversity of PortoPortoPortugal

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