Data Science Methodologies – A Benchmarking Study

Author:

Machado Luciana,Portela FilipeORCID

Publisher

Springer Nature Switzerland

Reference19 articles.

1. Azevedo, A., Santos, M.F.: KDD, semma and CRISP-DM: a parallel overview. IADIS European Conference on Data Mining, pp. 182–185 (2008). http://recipp.ipp.pt/bitstream/10400.22/136/3/KDD-CRISP-SEMMA.pdf

2. Shafique, U., Qaiser, H.: A comparative study of data mining process models (KDD, CRISP-DM and SEMMA). Int. J. Innov. Sci. Res. 12(1), 217–222 (2014). http://www.ijisr.issr-journals.org/

3. Yessad, L., Labiod, A.: Comparative study of data warehouses modeling approaches: Inmon, Kimball and data vault. In: 2016 International Conference on System Reliability and Science ICSRS 2016 - Proceedings, pp. 95–99 (2017). https://doi.org/10.1109/ICSRS.2016.7815845

4. AgileData.io Limited. AGILEDATA.IO. agiledata.io (2023). https://agiledata.io/

5. Di Tria, F., Lefons, E., Tangorra, F.: A proposal of methodology for designing big data warehouses. Preprints, no. June, p. 2018. https://doi.org/10.20944/preprints201806.0219.v1

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