What is defined as the process of discovering patterns from large data sets?

The process of discovering patterns from large data sets is referred to as data mining. This technique involves analyzing vast amounts of data to unearth hidden patterns, correlations, or trends that can facilitate decision-making and provide valuable insights. Data mining employs various methods from statistics, machine learning, and database systems to sift through the data and extract meaningful information.

In contrast, data analysis generally refers to the broader practice of interpreting and making sense of data rather than specifically focusing on pattern discovery. Data management is concerned with the organization, storage, and maintenance of data rather than the analysis itself. Data cleaning involves the process of identifying and rectifying errors or inconsistencies in data, ensuring the quality and integrity of the data before it is analyzed, but it does not entail pattern discovery. Thus, the essence of discovering patterns clearly aligns with the definition of data mining.