Methodologies used in Data Mining and Big Data Projects
The following survey aims to have a vision of the implementation of different methodologies in the field of Data Mining or Big Data projects for academic use within the Master's Final Project (TFM) entitled "Application of an Agile framework to Data Mining and Big Data ", written by Gonzalo Alonso Suárez at the Pontifical University of Salamanca.

The results will always be disclosed in an aggregate and duly anonymized manner.

For any clarification you can contact the author at the email address: g.alonso.suarez@gmail.com

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Methodologies that you are currently using *
You can check one or more methodologies you are currently using in your data mining / big data projects.
Required
Degree of satisfaction with the methodology used *
Not at all satisfied
Completely satisfied
Issues not sufficiently covered by your methodology *
Check the topics in which you have faced some issues in your data mining / big data projects that are not sufficiently covered by the methodology used in the project.
Required
Comments about the methodology (pros and cons / other issues)
Are you planning to change to another methodology? *
In case you are planning to change your current methodology. What's your preferred option?
You can check one or more methodologies of your choice.
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