In data mining, finding an affinity of two products to be commonly together in a shopping cart is known as:
<h3>What is Association Rule Mining?</h3>
This refers to the machine based learning method which aims to find similarities between variables in large databases.
With this in mind, we can see that when the affinity of two common products is used such as a shopping cart, in data mining, this is known as the association rule mining.
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brainly.com/question/13954653
Answer:
Year 1 = 35.23 days
Year 2 = 44.64 days
Explanation:
Days' Sales Uncollected = Accounts receivable / Net Sales * Days
Year 1 = $64,000 / $663,000 * 365 days = 35.23 days
Year 2= $91,000 / $744,000 * 365 days = 44.64 days
-Individuals involved in the conflict is encouraged to come together.
-Every individual involved in the conflict expresses his or her opinion in an open manner.
-Every individual involved in the conflict is encouraged to offer a solution.
-Discuss all the solutions and decide on the one that satisfies everyone.
Answer:
territory analysis
Explanation:
According to my research on the different types of business analysis, I can say that based on the information provided within the question the scenario indicates the team is currently involved in territory analysis. This is the process of analyzing different territories for potential sales of different products.
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