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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.

User Notnot
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Answer:

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

Step-by-step 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.

User Ivanmoskalev
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