Data Mining Techniques

Data mining techniques involve analyzing large sets of information to discover meaningful patterns, trends, or relationships. They use methods like clustering (grouping similar items), classification (categorizing data), association rule learning (finding common co-occurrences), and regression (predicting future values). These techniques help organizations make informed decisions, improve efficiency, and identify opportunities by extracting useful insights from complex data. Think of data mining as a way of uncovering hidden stories within vast amounts of data, much like a detective piecing together clues to solve a case.