Data mining involves analyzing large amounts of data to uncover hidden patterns and relationships. It aims to fit data to models in order to derive higher-level meta information that may not be obvious from examining the raw data alone. Some basic data mining tasks include classification, which maps data to predefined groups; regression, which maps data to prediction variables; and clustering, which groups similar data together. The goal of data mining is to discover useful information from data.