Association Techniques

Association techniques are methods used to identify relationships or patterns between different items or data points. They analyze large sets of data to find rules, such as discovering that customers who buy product A often also buy product B. These techniques are common in market basket analysis, helping businesses understand consumer behavior. By uncovering these correlations, companies can make better decisions about product placement, promotions, or recommendations. Essentially, association techniques reveal how things are connected, enabling smarter strategies based on observed patterns rather than guesswork.