KDD (Knowledge Discovery in Databases)

Knowledge Discovery in Databases (KDD) is the process of extracting useful, meaningful patterns and insights from large amounts of data. It involves steps like collecting data, cleaning it, selecting relevant parts, transforming it into a suitable format, applying algorithms to find patterns, and interpreting these patterns to make informed decisions. Think of it as a detective work with data—finding hidden clues that help understand trends, behaviors, or relationships. KDD is widely used in areas like marketing, finance, healthcare, and science to turn raw data into valuable knowledge.