Association Rules seeks to find frequent connections between _____________ in a data set.

• A. Attributes
• B. Items
• C. Values
• D. Records

Answer: (A)

Association rules mining looks for frequent co-occurrence patterns among attributes in the data, meaning which attribute values tend to appear together across records. In practice, each observation is described by its attributes (features), and the mining process identifies sets of attributes that frequently occur together, forming the rules. For example, in a dataset with attributes like age group, payment method, and product category, you might find that certain combinations of attributes appear together much more often than by chance, yielding a rule such as if age group is 18–25 and product category is electronics, then the payment method is likely to be credit card.

Values are the specific measurements or categories within attributes and aren’t the structural units being linked across records; records are the individual observations, not the co-occurrence units used to form the rules.