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Association Rule Mining FAQs

This document contains questions and answers related to association rule mining. It discusses concepts like confidence, support, lift, antecedent, consequent, and challenges in implementing the Apriori algorithm. The questions cover topics such as identifying the consequent of an association rule, prerequisites for generating rules, and properties like upward closure.

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kashyap
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2K views3 pages

Association Rule Mining FAQs

This document contains questions and answers related to association rule mining. It discusses concepts like confidence, support, lift, antecedent, consequent, and challenges in implementing the Apriori algorithm. The questions cover topics such as identifying the consequent of an association rule, prerequisites for generating rules, and properties like upward closure.

Uploaded by

kashyap
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as XLSX, PDF, TXT or read online on Scribd
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Questions
What is the confidence for Screen Guard -> Mobile Cover ?
What is the support for Screen Guard ?
What is the support for Power Bank ?
What is the confidence for Power Bank -> Mobile Cover ?
In the Association Rule [ Screen Guard , Mobile Cover -> Power Bank ] , what is the consequent ?

Proportion of transactions with A and B / (Proportion of transactions with A) * (Proportion of transactions wit
What are the pre-requisites for generating an Association Rule ?
You are a Data Scientist in an e-commerce company . You are analyzing all the transactions that happened over
observe that of the five hundred transactions that happened , two hundred of them had a mobile phone in them
phones in the last 1 week ?
Which property states that an itemset can be considered frequent only if all the items in the set are frequent ?
Left hand side of an Association Rule is called ?
What metric is first calculated for each item in the apriori algorithm ?
The confidence of (A->B) is not always same as confidence of (B->A)
The FP Growth algorithm is not memory efficient.
What is considered a challenge in implementing the Apriori Algorithm ?
Right hand side of an Association Rule is called ?
Answers
0.5
0.8
0.6
0.33
Power Bank

lift(A-->B)
Support and Confidence

0.4
Upward Closure Property
Antecedent
Support
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0
Sometimes too few item sets that satisfy the minimum support
Consequent

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