What is the main goal of data mining?

The main goal of data mining is to discover unknown data relationships within a given set of data. This involves utilizing various techniques and algorithms to analyze large datasets in order to uncover patterns, correlations, and insights that were not previously apparent. By identifying these relationships, organizations can make more informed decisions, predict future trends, and tailor strategies to meet their goals more effectively.

Data mining goes beyond simply managing or storing data, which is more focused on the organization and structure of information rather than extracting meaningful insights. Generating new data is also not the primary purpose, as data mining specifically focuses on analyzing existing data rather than creating it. Furthermore, while transporting data across networks is a crucial component of data systems, it does not align with the analytical focus of data mining aimed at seeking out hidden relationships in data.