Data Purification

What is Data Purification?

Data purification refers to cleaning and refining raw datasets—removing noise, correcting errors, and filtering irrelevant records—so downstream analytics and models operate on higher-quality inputs.

It overlaps with data cleansing and preparation; the emphasis is producing a trustworthy analytical base before feature engineering or training.

Authoritative reference: Wikipedia: Data cleansing