This report delves into the realm of data mining, presenting a comprehensive overview of the subject. It begins with an introduction to data mining, explaining its core concepts and processes, including its role in problem-solving and data analysis. The report then explores various applications of data mining, such as market analysis, corporate analysis and risk management, and fraud detection. It discusses the different stages of data mining, from business understanding to deployment, and highlights the six data mining classes: anomaly detection, association rule learning, clustering, classification, regression, and summarization. The report also touches upon the evolution of data mining, its relationship with artificial intelligence and applied statistics, and its application in diverse database types. The report concludes by summarizing the importance of data mining in the context of knowledge discovery in databases (KDD).