Data Mining

Data mining is the process of discovering useful patterns from large amounts of data using statistical, mathematical, and artificial intelligence techniques. It involves applying these techniques to extract and identify useful information from large datasets. Data mining draws from multiple disciplines including statistics, pattern recognition, mathematical modeling, information systems, and machine learning. It has various applications in domains such as customer relationship management, banking, retailing, manufacturing, insurance, software, government, travel, and healthcare. The CRISP-DM process provides a standard methodology for data mining projects involving six steps: business understanding, data understanding, data preparation, modeling, evaluation, and deployment.