{"id":48893,"date":"2024-04-15T22:47:55","date_gmt":"2024-04-15T22:47:55","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=48893"},"modified":"2024-04-15T22:47:55","modified_gmt":"2024-04-15T22:47:55","slug":"the-number-of-iterations-in-apriori-select-one","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/the-number-of-iterations-in-apriori-select-one\/","title":{"rendered":"The number of iterations in apriori . . . . . . . . Select one:"},"content":{"rendered":"

[amp_mcq option1=”increases with the size of the data” option2=”decreases with the increase in size of the data” option3=”increases with the size of the maximum frequent set” option4=”decreases with increase in size of the maximum frequent set” correct=”option1″]<\/p>\n

The correct answer is: A. increases with the size of the data.<\/p>\n

Apriori is an algorithm for finding frequent itemsets in a database. It works by repeatedly finding all subsets of a set of items that occur more often than a given minimum support threshold. The number of iterations in apriori depends on the size of the data set and the minimum support threshold. The larger the data set, the more iterations are required to find all frequent itemsets. The higher the minimum support threshold, the more iterations are required to find all frequent itemsets.<\/p>\n

Option B is incorrect because the number of iterations in apriori increases with the size of the data set, not decreases.<\/p>\n

Option C is incorrect because the number of iterations in apriori increases with the size of the data set, not the size of the maximum frequent set.<\/p>\n

Option D is incorrect because the number of iterations in apriori increases with the size of the data set, not decreases with increase in size of the maximum frequent set.<\/p>\n","protected":false},"excerpt":{"rendered":"

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