In data mining, which task is primarily conducted?

Data mining is fundamentally focused on the process of extracting valuable information from large datasets. This involves analyzing vast amounts of data to uncover patterns, trends, correlations, and insights that were previously hidden. Techniques used in data mining may include clustering, classification, regression analysis, and association rule learning, among others.

The primary goal of data mining is to transform raw data into useful knowledge that can inform decision-making, identify market trends, improve customer relationships, and enhance operational efficiency. This core objective distinguishes data mining from other related tasks, such as data visualization or legal compliance, which do not focus primarily on extracting insights from data.