KDD (Knowledge Discovery and Data Mining)

KDD, or Knowledge Discovery and Data Mining, is the process of uncovering useful patterns, trends, or insights from large sets of data. It involves various techniques from data analysis and machine learning to analyze complex information, filter out irrelevant details, and extract meaningful knowledge. Think of it as a way to turn vast amounts of raw data into understandable and actionable insights, helping organizations make informed decisions, improve strategies, and solve problems efficiently. KDD is widely used in fields like marketing, finance, healthcare, and technology to harness data’s full potential.