The extraction of patterns and knowledge from large amounts of data, not extracting data
CRISP-DM 
Data Understanding - What data we have, what data do we need Data Prep - organising data for modelling Modelling - Modelling techinques to apply Evaluation - Evaluating data model performance for business objective Deployment - Making the model accessible for people
Data Mining Methods (related docs)
Classifications Regression Clustering-1766749057928.png Association Feature Engineering
