Knowledge Discovery in Databases

Knowledge Discovery in Databases (KDD) is the process of extracting useful, meaningful patterns and insights from large sets of data. It involves steps like collecting data, cleaning and preparing it, analyzing to find trends or relationships, and interpreting these patterns to support decision-making. Essentially, KDD transforms raw, complex data into valuable knowledge that can help organizations understand their operations, customer behavior, or market dynamics more effectively.