What process is described as the automated extraction of hidden information from large databases?

The process described as the automated extraction of hidden information from large databases is data mining. Data mining involves using various techniques to discover patterns, trends, and insights that are not immediately obvious in raw data. This can include statistical analysis, machine learning algorithms, and artificial intelligence methods to analyze large datasets and uncover valuable information that can lead to better decision-making.

In contrast, data processing refers to the manipulation and organization of data, ensuring it is in a suitable format for analysis but does not focus on extracting hidden information. Data analysis involves examining the data to draw conclusions or make predictions but may not specifically involve automation or the extraction of hidden patterns as robustly as data mining does. Data visualization is about presenting data in visual formats, such as charts or graphs, to communicate findings effectively, rather than extracting information from databases. Thus, data mining is the term that accurately captures the essence of automating the discovery of hidden insights in large datasets.