Define 'data mining'.

Data mining refers to the process of discovering patterns and acquiring knowledge from large sets of data. This involves using various techniques from statistics, machine learning, and database systems to analyze data and extract useful information that can inform decision-making. The primary goal of data mining is to uncover previously unknown correlations, trends, and insights that can be leveraged for various applications, such as improving business operations, enhancing customer experiences, or advancing scientific research.

The other choices represent different aspects of data management or security but do not encapsulate the core concept of data mining. Securing data focuses on protecting information from unauthorized access, while collecting data involves gathering information from multiple sources. Ensuring data accuracy relates to data quality management, which is essential but separate from the process of discovering new knowledge through analysis.