FP-Growth Algorithm MCQs

By: Prof. Dr. Fazal Rehman | Last updated: August 7, 2024

. What does the “FP” in FP-Growth stand for?
a) Frequent Pattern
b) Fast Processing
c) Fixed Pattern
d) Frequent Path

Answer: a) Frequent Pattern

2. What is the primary purpose of the FP-Growth algorithm in data mining?
a) Classification
b) Regression
c) Association rule mining
d) Clustering

Answer: c) Association rule mining

3. Which data structure is central to the FP-Growth algorithm?
a) Decision tree
b) Hash table
c) FP-Tree (Frequent Pattern Tree)
d) Graph

Answer: c) FP-Tree (Frequent Pattern Tree)

4. How does the FP-Growth algorithm differ from the Apriori algorithm in finding frequent itemsets?
a) FP-Growth uses candidate generation
b) FP-Growth uses depth-first search
c) FP-Growth does not generate candidate itemsets
d) FP-Growth uses a horizontal data format

Answer: c) FP-Growth does not generate candidate itemsets

5. What is the first step in the FP-Growth algorithm?
a) Construct the FP-Tree
b) Generate candidate itemsets
c) Sort the items by frequency
d) Prune infrequent itemsets

Answer: c) Sort the items by frequency

6. In the FP-Growth algorithm, what does the “conditional FP-Tree” represent?
a) A subtree with items that meet a minimum support threshold
b) A tree that shows all possible item combinations
c) A tree built for each frequent item with conditional transactions
d) A pruned version of the original FP-Tree

Answer: c) A tree built for each frequent item with conditional transactions

7. What is a major advantage of the FP-Growth algorithm over the Apriori algorithm?
a) It uses a breadth-first search
b) It avoids multiple database scans
c) It generates fewer association rules
d) It is easier to implement

Answer: b) It avoids multiple database scans

8. What is the key purpose of the header table in the FP-Growth algorithm?
a) To store the frequency of each item
b) To link nodes in the FP-Tree with the same item
c) To sort items in the FP-Tree
d) To merge identical transactions

Answer: b) To link nodes in the FP-Tree with the same item

9. Which operation is critical for constructing the FP-Tree in the FP-Growth algorithm?
a) Sorting transactions
b) Calculating confidence
c) Intersecting itemsets
d) Pruning the tree

Answer: a) Sorting transactions

10. What is a key limitation of the FP-Growth algorithm?
a) High computational cost for candidate generation
b) Difficulty in handling large datasets
c) Large memory requirement for constructing the FP-Tree
d) Slow processing speed

Answer: c) Large memory requirement for constructing the FP-Tree

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