[amp_mcq option1=”2k – 1 candidate association rules” option2=”2k candidate association rules” option3=”2k – 2 candidate association rules” option4=”2k -2 candidate association rules” correct=”option1″]<\/p>\n
The correct answer is A. 2k – 1 candidate association rules.<\/p>\n
A candidate association rule is an association rule that is potentially true in the data. It is formed by taking a frequent itemset $L$ and a subset $S$ of $L$, and then considering the rule $L \\rightarrow S$. For example, if $L = \\{a, b, c\\}$ is a frequent itemset, then the rules $a \\rightarrow b$, $a \\rightarrow c$, $b \\rightarrow c$, $a \\rightarrow b \\rightarrow c$, and $a \\rightarrow b \\rightarrow c$ are all candidate association rules.<\/p>\n
The number of candidate association rules that can be generated from a frequent itemset $L$ of size $k$ is $2^k – 1$. This is because there are $2^k$ possible subsets of $L$, and each subset can be the antecedent of a candidate association rule. However, one of these subsets is the empty set, and the rule $L \\rightarrow \\emptyset$ is always true, so it is not considered a candidate association rule.<\/p>\n
Here is a more detailed explanation of each option:<\/p>\n
[amp_mcq option1=”2k – 1 candidate association rules” option2=”2k candidate association rules” option3=”2k – 2 candidate association rules” option4=”2k -2 candidate association rules” correct=”option1″]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[729],"tags":[],"class_list":["post-55737","post","type-post","status-publish","format-standard","hentry","category-machine-learning","no-featured-image-padding"],"yoast_head":"\n