What is Data Mining and how is it different from Data Analysis?

Data mining focuses on discovering hidden patterns in large datasets, while data analysis focuses on interpreting known datasets.

Data mining is a subset of knowledge discovery in databases (KDD) that uses algorithms from machine learning, statistics, and database systems to extract patterns such as clusters, associations, and anomalies. Data analysis is often more descriptive and focuses on summarizing or interpreting existing data. Data mining is predictive and exploratory, while data analysis is often explanatory.