Discovery of cross sales opportunities is called as _____.

Answer: Association

Association, or association rule mining (also called market-basket analysis), is the technique used to discover cross-sell opportunities by identifying items that frequently occur together in transaction data and creating rules that suggest one item given another.

• Example: If many transactions contain both bread and butter, an association rule 'bread -> butter' indicates butter as a cross-sell candidate for customers who buy bread.

• Common algorithms: Apriori and FP-Growth are typical methods to find frequent itemsets and generate association rules.

• Why the other choices are not correct: Visualization displays data graphically but does not create item-pair rules; correlation measures relationships between numeric variables and is not designed for transaction item rules; segmentation groups customers for targeting but does not directly produce association rules for cross-selling.