Association Algorithms

Association algorithms are techniques used in data analysis to discover interesting relationships or patterns within large datasets. They identify how items or events are related, often revealing rules like "if A occurs, then B is likely to follow." A common example is in retail, where these algorithms help determine that customers who buy bread often buy butter as well. By analyzing past behaviors, businesses can make informed decisions about product placement, marketing strategies, and inventory management, ultimately enhancing customer experience and increasing sales.