Which data mining process/methodology is thought to be the most comprehensive, according to kdnuggets.com rankings?
A) SEMMA
B) proprietary organizational methodologies
C) KDD Process
D) CRISP-DM

Question

Quizplus · Accepted Answer

The CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology is considered to be the most comprehensive and widely used data mining process according to kdnuggets.com rankings. It consists of six stages: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. These stages provide a structured approach to data mining projects, ensuring that all aspects are considered and covered thoroughly.

Which Data Mining Process/methodology Is Thought to Be the Most