Knowledge Discovery in Databases (KDD)

Knowledge Discovery in Databases (KDD) is the process of uncovering valuable insights and patterns from large sets of data. It involves several steps, including collecting data, cleaning it for accuracy, analyzing it using various techniques, and interpreting the results to glean meaningful information. KDD helps organizations make informed decisions by transforming raw data into useful knowledge. This approach is widely used in fields like business, healthcare, and science to identify trends, predict outcomes, and improve strategies based on data-driven evidence.