What is the process of extracting patterns from data?

The process of extracting patterns from data is known as data mining, which involves several steps. First, data is collected and preprocessed to ensure quality and relevance. Next, analytical techniques like statistical analysis, machine learning, or clustering are applied to identify trends and patterns. Finally, the results are interpreted and validated to provide insights that can inform decision-making.