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Questions and Answers
What is a frequent pattern?
What is a frequent pattern?
- A pattern that is unrelated to other patterns in a dataset
- A pattern that occurs frequently in a dataset (correct)
- A unique pattern that occurs only once in a dataset
- A pattern that occurs rarely in a dataset
What is an example of a frequent itemset?
What is an example of a frequent itemset?
- Milk and bread being unrelated in purchase patterns
- Milk and bread being frequently purchased together (correct)
- Milk and bread being purchased only once
- Milk and bread being rarely purchased together
What does frequent pattern mining involve?
What does frequent pattern mining involve?
- Searching for recurring relationships in a dataset to discover associations and correlations among items (correct)
- Ignoring patterns that occur frequently in a dataset
- Finding unique patterns that occur only once in a dataset
- Looking for patterns unrelated to each other in a dataset
What are some applications of frequent pattern mining?
What are some applications of frequent pattern mining?
What is the goal of frequent pattern mining?
What is the goal of frequent pattern mining?
What is the main goal of frequent pattern mining?
What is the main goal of frequent pattern mining?
What is a frequent pattern?
What is a frequent pattern?
What are some examples of applications of frequent pattern mining?
What are some examples of applications of frequent pattern mining?
In frequent pattern mining, what does 'support' refer to?
In frequent pattern mining, what does 'support' refer to?
What is a frequent sequential pattern?
What is a frequent sequential pattern?
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Study Notes
Frequent Pattern Mining
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Frequent Pattern: A frequent pattern is a pattern that appears frequently in a dataset, exceeding a certain threshold (minimum support).
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Frequent Itemset: An example of a frequent itemset is a set of items that are frequently purchased together, such as milk and bread.
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Frequent Pattern Mining: Frequent pattern mining involves discovering patterns, such as itemsets, subsequences, or substructures, that appear frequently in a dataset.
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Applications: Frequent pattern mining has applications in various fields, including:
- Market basket analysis
- Recommendation systems
- Fraud detection
- Bioinformatics
- Web usage mining
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Goal: The goal of frequent pattern mining is to identify patterns that are significant, useful, and meaningful, which can be used to make informed decisions.
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Support: In frequent pattern mining, 'support' refers to the frequency of a pattern in the dataset, usually measured as a percentage of the total transactions.
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Frequent Sequential Pattern: A frequent sequential pattern is a pattern that describes a sequence of events or items that occur frequently in a dataset, such as a sequence of Web page visits.
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