Podcast
Questions and Answers
Which of the following is the most accurate characterization of a 'frequent pattern' in data mining?
Which of the following is the most accurate characterization of a 'frequent pattern' in data mining?
- A data point that appears multiple times in a short interval.
- A pattern (set of items, subsequences, etc.) that occurs frequently in a dataset. (correct)
- A data structure that is computationally inexpensive to process repeatedly.
- A pattern that is considered important by the data analyst irrespective of its frequency.
In the context of frequent pattern mining, what distinguishes a 'frequent' pattern from other patterns?
In the context of frequent pattern mining, what distinguishes a 'frequent' pattern from other patterns?
- Its simplicity and ease of interpretation.
- Its discovery by a specific algorithm known for efficiency.
- Its ability to predict future trends with high precision.
- Its recurrence above a predefined threshold in the dataset. (correct)
A retailer wants to identify products frequently purchased together. How does the concept of 'frequent patterns' apply?
A retailer wants to identify products frequently purchased together. How does the concept of 'frequent patterns' apply?
- By tracking the time of day when certain products are sold most.
- By analyzing customer demographics to predict purchasing habits.
- By finding sets of products that frequently appear together in transactions. (correct)
- By profiling customers based on their browsing history.
Consider a biological dataset of gene sequences. How might 'frequent pattern' mining be used in this context?
Consider a biological dataset of gene sequences. How might 'frequent pattern' mining be used in this context?
Why is it important to establish a minimum support threshold when mining for frequent patterns?
Why is it important to establish a minimum support threshold when mining for frequent patterns?
What inherent assumption is made when applying frequent pattern mining to a dataset?
What inherent assumption is made when applying frequent pattern mining to a dataset?
A social media analyst wants to understand trending topics. How can 'frequent pattern' mining aid in this?
A social media analyst wants to understand trending topics. How can 'frequent pattern' mining aid in this?
In what type of data would frequent pattern mining be least effective?
In what type of data would frequent pattern mining be least effective?
Which of the following sets of items would be considered a frequent pattern, assuming a minimum support of 3?
Which of the following sets of items would be considered a frequent pattern, assuming a minimum support of 3?
What is a key limitation of frequent pattern mining regarding rare but potentially significant patterns?
What is a key limitation of frequent pattern mining regarding rare but potentially significant patterns?
Flashcards
Frequent Pattern
Frequent Pattern
A pattern (set of items, subsequences, etc.) that occurs frequently in a dataset.
Study Notes
- Frequent pattern: A pattern (items, subsequences, substructures) appearing frequently in a dataset.
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