To identify patterns across transactions, we can use
A)association rules.
B)complete linkage.
C)centroid linkage.
D)k-means.

Question

Quizplus · Accepted Answer

Association rules can be used to identify patterns across transactions by finding frequent itemsets and rules based on those itemsets. This method is commonly used in market basket analysis to understand which items are frequently purchased together. Complete and centroid linkage are both methods for clustering data, while k-means is a clustering algorithm that partitions data into a pre-determined number of clusters based on similarity. While clustering may also identify patterns, it does not provide the same level of insight into specific item combinations that association rules can offer.

To Identify Patterns Across Transactions, We Can Use