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

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

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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.

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References

  • Han, J., & Kamber, M. (2006). Data mining: concepts and techniques. Elsevier: Morgan Kaufman.

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  • Hand, D., Mannila, H. & Smyth, P. (2001). Principles of data mining. The MIT Press.

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Author information

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). Introduction. 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_1

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  • DOI: https://doi.org/10.1007/978-3-319-22294-3_1

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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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