10 Questions
What is a frequent pattern?
A pattern that occurs frequently in a dataset
What is an example of a frequent itemset?
Milk and bread being frequently purchased together
What does frequent pattern mining involve?
Searching for recurring relationships in a dataset to discover associations and correlations among items
What are some applications of frequent pattern mining?
Basket data analysis, catalog design, sale campaign analysis, Web log (click stream) analysis, and DNA sequence analysis
What is the goal of frequent pattern mining?
To discover associations and correlations among items in large transactional or relational datasets
What is the main goal of frequent pattern mining?
To discover associations and correlations among items in large transactional or relational datasets
What is a frequent pattern?
A pattern that occurs frequently in a dataset, such as a set of items that appear frequently together in a transaction data set
What are some examples of applications of frequent pattern mining?
Basket data analysis, catalog design, and DNA sequence analysis
In frequent pattern mining, what does 'support' refer to?
The proportion of transactions in the dataset that contain the itemset
What is a frequent sequential pattern?
A subsequence that occurs frequently in a shopping history database
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.
Learn about frequent patterns, association rules, support, confidence, and lift in association analysis. Understand the methods for frequent itemset mining. Explore the concept of frequent patterns and their occurrence in datasets.
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