A Level Computer Science OCR Test 2026 – 400 Free Practice Questions to Pass the Exam

Data mining is primarily used for analyzing user habits and preferences because it involves extracting valuable insights and patterns from large sets of data. By leveraging techniques from statistics, machine learning, and database systems, data mining enables organizations to identify trends, correlations, and anomalies in user behavior. This analysis can help businesses tailor their products, marketing strategies, and services to better meet the needs of their customers, ultimately enhancing user experience and driving engagement.

The other options revolve around related but distinct concepts. Storing large datasets pertains more to data management and database design rather than the analytical processes featured in data mining. Enhancing data security is concerned with protecting information from unauthorized access and breaches, which is outside the scope of data mining's primary focus. Optimizing search algorithms relates to improving the efficiency of retrieving data within systems, but does not directly involve the analysis of user behavior and preferences that data mining encompasses.