Data mining is the process of discovering patterns and insights in large data sets using statistical and computational methods. It involves extracting previously unknown and potentially useful information from data, which can then be used for various purposes, including decision-making, marketing, and research. Data mining techniques can be used to identify trends, relationships, and anomalies in data, as well as to build predictive models. Examples of data mining techniques include clustering, association rule mining, and classification. Data mining is used in many industries, including finance, healthcare, and retail, to gain insights into customer behavior, detect fraud, and improve operational efficiency.