Association Rule Analysis is the statistical technique typically used to conduct market basket analysis.
If market basket analysis is conducted by a retail business that sells thousands of items (such as Kroger or Wal-Mart), the "apriori" algorithm is typically the technique of choice because:

A) it generates more association rules than other techniques.
B) it eliminates all the unpopular items for the analysis to save time (and computing power).
C) it generates a set of rules that are easy to interpret.
D) it generates the most accurate results.

The correct answer is B) it eliminates all the unpopular items for the analysis to save time (and computing power).

Explanation:

Taking into account that the analysis of the association rule takes into account a group of products that are sold for being complementary or that are sold from the purchase of others without being complementary, in a retail business it will be relevant to consider the popularity of products to determine behavior or pattern. In this sense, the "a priori" algorithm determines a previous situation that is not taken into account to study similar behaviors between products.

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