KDD, SEMMA and CRISP-DM: a parallel overview
By Ana Azevedo, M. Santos. IADIS European Conf. Data Mining, 2008
395 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/6bc30ac3f23d43ffc2254b0be24ec4217cf8c845
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Citations in the corpus
- A process for predicting manhole events in Manhattan (2010, background): “The process falls mostly into the very general CRISP-DM 1 (Azevedo and Santos 2008) framework of processes for data mining, but does not directly fall into the traditional knowledge discovery in databases (KDD) outline (Fayyad et al. 1996), since KDD does not directly encompass cases where the data…”