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Association Analysis I: Basic Concepts

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Questions and Answers

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?

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?

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?

Basket data analysis, catalog design, sale campaign analysis, Web log (click stream) analysis, and DNA sequence analysis Signup and view all the answers

What is the goal of frequent pattern mining?

To discover associations and correlations among items in large transactional or relational datasets Signup and view all the answers

What is the main goal of frequent pattern mining?

To discover associations and correlations among items in large transactional or relational datasets Signup and view all the answers

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 Signup and view all the answers

What are some examples of applications of frequent pattern mining?

Basket data analysis, catalog design, and DNA sequence analysis Signup and view all the answers

In frequent pattern mining, what does 'support' refer to?

The proportion of transactions in the dataset that contain the itemset Signup and view all the answers

What is a frequent sequential pattern?

A subsequence that occurs frequently in a shopping history database Signup and view all the answers

Study Notes

Frequent Pattern Mining

Frequent Pattern: A frequent pattern is a pattern that appears frequently in a dataset, exceeding a certain threshold (minimum support).
Frequent Itemset: An example of a frequent itemset is a set of items that are frequently purchased together, such as milk and bread.
Frequent Pattern Mining: Frequent pattern mining involves discovering patterns, such as itemsets, subsequences, or substructures, that appear frequently in a dataset.
Applications: Frequent pattern mining has applications in various fields, including:
- Market basket analysis
- Recommendation systems
- Fraud detection
- Bioinformatics
- Web usage mining
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.
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.
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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Description

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.