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Data Mining Techniques

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

Abstract

This chapter presents available data mining techniques that can be of interest for application in indoor environment analysis. Descriptive statistics tools are presented with the focus on probability distribution and correlation analysis. Multivariate data techniques are also addressed, with a special focus on principal components determination and cluster analysis.

Keywords

Probability Mass Function Total Inertia Discrete Probability Distribution Classification Tree Analysis Continuous Probability Distribution 
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. San Francisco: Morgan Kaufman, Elsevier.Google Scholar
  2. Haldar, A., & Mahadevan, S. (2000). Probability, reliability and statistical methods in engineering design. New York: Wiley.Google Scholar
  3. Montgomery, D., & Runger, G. (2010). Applied statistics and probability for engineers. New York: Wiley.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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