Recognizing rules, patterns and correlations from transaction data If we have typical retail transaction data, we can apply different data science methods and algorithms to discover rules, patterns and correlations that exist within the data. For example: If a customer bought product1 and product2, very often he also bought product3. Product1 and product2 are “similar”: […]