
ML-F-P Growth Algorithm
Quiz
•
Computers
•
University
•
Practice Problem
•
Hard
KarunaiMuthu SriRam
Used 4+ times
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25 questions
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1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is the main objective of the F-P Growth Algorithm?
To build a decision tree
To discover frequent itemsets in transactional databases
To classify data into classes
To perform clustering analysis
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which type of learning does the F-P Growth Algorithm belong to?
Supervised learning
Unsupervised learning
Semi-supervised learning
Reinforcement learning
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is the key data structure used in the F-P Growth Algorithm to represent the frequent itemsets?
Linked list
Stack
F-P tree
Hash table
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which property of the F-P Growth Algorithm allows it to efficiently mine frequent itemsets?
Minimum Description Length
Downward Closure Property
Occam's Razor
Maximum Likelihood Estimation
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is the primary advantage of the F-P Growth Algorithm over the Apriori Algorithm?
It is more memory-efficient.
It can handle categorical attributes.
It guarantees a lower computational complexity.
It can handle high-dimensional data.
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
The F-P Growth Algorithm is particularly efficient when dealing with datasets that have:
Few transactions and few items per transaction
Few transactions and many items per transaction
Many transactions and few items per transaction
Many transactions and many items per transaction
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
In the F-P Growth Algorithm, what is the purpose of the header table?
To store the most frequent itemset
To maintain the order of items in the F-P tree
To store pointers to the first occurrence of each item in the F-P tree
To keep track of the number of items in each transaction
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