A Selective Comparative Review of CRISP-DM and TDSP Development Methodologies for Big Data Analytics Systems

Author:

Salazar-Salazar Gerardo,Mora Manuel,Duran-Limon Hector A.,Rodríguez Francisco Javier Álvarez

Publisher

Springer International Publishing

Reference42 articles.

1. Martínez-Plumed, F., Contreras-Ochando, L., Ferri, C., Orallo, J.H., Kull, M., Lachiche, N., et al.: CRISP-DM twenty years later: from data mining processes to data science trajectories. IEEE Trans. Knowl. Data Eng. 33(8), 3048–3061 (2019)

2. Halper, F.: Next-generation analytics and platforms for business success. TDWI Research Report. https://tdwi.org/webcasts/2015/01/next-generation-analytics-and-platforms-for-business-success.aspx. Accessed 13 Dec 2022

3. Walker, J.: Big data strategies disappoint with 85 percent failure rate. Digital J. https://www.digitaljournal.com/tech-science/big-data-strategies-disappoint-with-85-percent-failure-rate/article/508325. Accessed 13 December 2022

4. Mariscal, G., Marban, O., Fernandez, C.: A survey of data mining and knowledge discovery process models and methodologies. Knowl. Eng. Rev. 25(2), 137–166 (2010)

5. Why do 87% of data science projects never make it into production?, VentureBeat. https://venturebeat.com/ai/why-do-87-of-data-science-projects-never-make-it-into-production/. Accessed 14 Dec 2022

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