Association Problems

Association problems involve identifying relationships or patterns between different items or variables within a dataset. For example, discovering that customers who buy bread often buy butter. These problems are common in market basket analysis, recommendation systems, and data mining, helping businesses understand consumer behavior or uncover hidden connections. The goal is to find rules or associations that can predict future behavior or optimize decision-making, by analyzing how frequently certain items co-occur or relate to each other.