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Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions pp 37–45Cite as

Application of Data Mining Techniques

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

Abstract

In this chapter, the data mining techniques described in chapter 3 are applied to the case study described in chapter 4. The overcome of the difficulties associated with the analysis process of the data using appropriate techniques is demonstrated.

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Authors and Affiliations

  1. Department of Civil Engineering, University of Porto, Porto, Portugal

    Nuno M. M. Ramos

  2. Department of Civil Engineering, University of Porto, Porto, Portugal

    João M. P. Q. Delgado

  3. Department of Civil Engineering, Polytechnic Institute of Viseu, Viseu, Portugal

    Ricardo M. S. F. Almeida

  4. Department of Civil Engineering, University of Porto, Porto, Portugal

    Maria L. Simões

  5. Department of Civil Engineering, University of Porto, Porto, Portugal

    Sofia Manuel

Authors
  1. Nuno M. M. Ramos
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  2. João M. P. Q. Delgado
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  3. Ricardo M. S. F. Almeida
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  4. Maria L. Simões
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  5. Sofia Manuel
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Corresponding author

Correspondence to Nuno M. M. Ramos .

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Ramos, N.M.M., Delgado, J.M.P.Q., Almeida, R.M.S.F., Simões, M.L., Manuel, S. (2016). Application of Data Mining Techniques. In: Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-22294-3_5

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  • DOI: https://doi.org/10.1007/978-3-319-22294-3_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22293-6

  • Online ISBN: 978-3-319-22294-3

  • eBook Packages: EngineeringEngineering (R0)

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