Answered step by step
Verified Expert Solution
Link Copied!

Question

1 Approved Answer

During the candidate itemset generation in the Apriori method from L to Ck+1, we use a rule to judge when we can merge two

  

During the candidate itemset generation in the Apriori method from L to Ck+1, we use a rule to judge when we can merge two frequent k-itemsets into one candidate (k+1)-itemset. However, it seems that the rule ignores some pairs of the frequent k-itemsets. For instance, for L3={{ABC). (ABD). (ABE). {ACE)....). according the rule, we can merge (ABC) and (ABD) to get (ABCD), which is a 4- itemset, but we do not need to merge (ABE) and (ACE) to get {ABCE), which is also a 4-itemset. Argue that the rule is correct, i.e., we can safely ignore the merging between (ABE) and {ACE}.

Step by Step Solution

There are 3 Steps involved in it

Step: 1

blur-text-image

Get Instant Access to Expert-Tailored Solutions

See step-by-step solutions with expert insights and AI powered tools for academic success

Step: 2

blur-text-image

Step: 3

blur-text-image

Ace Your Homework with AI

Get the answers you need in no time with our AI-driven, step-by-step assistance

Get Started

Recommended Textbook for

Introduction to Data Mining

Authors: Pang Ning Tan, Michael Steinbach, Vipin Kumar

1st edition

321321367, 978-0321321367

More Books

Students also viewed these Operating System questions

Question

Differentiate health psychology from behavioral medicine.

Answered: 1 week ago

Question

Distinguish between prejudice and discrimination.

Answered: 1 week ago