Quiz8-2.7.25

Which of the following rule based algorithm is efficient

• FP-Tree
• Apriori
• Support
• Confidence

abbreviation for C1 in rule algorithm is ______

• case one
• Categorical rule
• candidate one
• contingency1

What is the primary objective of the Apriori Algorithm?

• To build a frequency tree
• To classify data into classes
• To perform clustering analysis
• To discover frequent itemsets in transactional databases

Which type of learning does the Apriori Algorithm belong to?

• Supervised learning
• Semi-supervised learning
• Reinforcement learning
• Unsupervised learning

What is a frequent itemset in the context of the Apriori Algorithm?

• An itemset that occurs only once in the dataset
• An itemset with items in alphabetical order
• An itemset with the most items in the dataset
• An itemset that occurs frequently in the dataset above a specified threshold

The Apriori Algorithm uses which principle to reduce the search space?

• Support and Confidence
• Minimum Description Length
• Apriori property
• FP-Tree conditional pattern

The Apriori Algorithm is most commonly used for which type of data analysis?

• Regression analysis
• Classification analysis
• Association rule mining
• Clustering analysis

Which phase of the Apriori Algorithm generates the initial itemsets of size 1?

• Pruning
• Joining
• Loading
• Scanning

When applying the Apriori Algorithm to a dataset, which itemsets are considered for pruning in each iteration?

• Frequent itemsets
• Infrequent itemsets
• Candidate itemsets
• Itemsets with the highest support

Which step of the Apriori Algorithm involves counting the occurrences of itemsets in the dataset?

• Pruning
• Joining
• Loading
• Scanning