Introduction to Data Mining : DM

<p>Data mining is the process of extracting knowledge or insights from large amounts of data using various statistical and computational techniques. The data can be structured semi-structured or unstructured and it can be stored in various forms such as databases data warehouses and data lakes. The primary goal of data mining is to discover hidden patterns and relationships in the data that can be used to make informed decisions or predictions. This involves exploring the data using various techniques such as clustering classification regression analysis association rule mining and anomaly detection. Data mining has a wide range of applications across various industries including marketing finance healthcare and telecommunications. For example in marketing data mining can be used to identify customer segments and target marketing campaigns while in healthcare it can be used to identify risk factors for diseases and develop personalized treatment plans.</p>