Cross Industry Standard Process For Data Mining (CRISP-DM) Process Pattern

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A Cross Industry Standard Process For Data Mining (CRISP-DM) Process Pattern is a data science process pattern.



References

2014

  1. Shearer C., The CRISP-DM model: the new blueprint for data mining, J Data Warehousing (2000); 5:13 — 22.
  2. Gregory Piatetsky-Shapiro (2002); KDnuggets Methodology Poll
  3. Gregory Piatetsky-Shapiro (2004); KDnuggets Methodology Poll
  4. Gregory Piatetsky-Shapiro (2007); KDnuggets Methodology Poll
  5. Óscar Marbán, Gonzalo Mariscal and Javier Segovia (2009); A Data Mining & Knowledge Discovery Process Model. In Data Mining and Knowledge Discovery in Real Life Applications, Book edited by: Julio Ponce and Adem Karahoca, ISBN 978-3-902613-53-0, pp. 438-453, February 2009, I-Tech, Vienna, Austria.
  6. Lukasz Kurgan and Petr Musilek (2006); A survey of Knowledge Discovery and Data Mining process models. The Knowledge Engineering Review. Volume 21 Issue 1, March 2006, pp 1 - 24, Cambridge University Press, New York, NY, USA doi: 10.1017/S0269888906000737.
  7. Azevedo, A. and Santos, M. F. (2008);KDD, SEMMA and CRISP-DM: a parallel overview. In: Proceedings of the IADIS European Conference on Data Mining 2008, pp 182-185.