What is the difference between pre-processing and data mining?

Pre-processing and data mining are two important steps in data analysis, but they are distinct processes with different goals. Pre-processing involves cleaning, transforming, and preparing raw data for analysis. This includes tasks such as data cleaning, data integration, data normalization, and data reduction. The goal of pre-processing is to improve the quality of data and make it ready for fu..

2023.03.01