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Questions and Answers
What is a frequent pattern in the context of data mining?
What is a frequent pattern in the context of data mining?
- A pattern that occurs only once in a data set
- A pattern that occurs randomly in a data set
- A pattern that occurs rarely in a data set
- A pattern that occurs frequently in a data set (correct)
Who first proposed the concept of frequent itemsets and association rule mining?
Who first proposed the concept of frequent itemsets and association rule mining?
- Smith and Johnson
- Agrawal, Imielinski, and Swami (correct)
- Garcia and Martinez
- Wang and Lee
What is one of the motivations for frequent pattern analysis in data mining?
What is one of the motivations for frequent pattern analysis in data mining?
- Identifying unrelated items in a data set
- Finding rare occurrences in data
- Finding inherent regularities in data (correct)
- Locating outliers in a data set
In which applications is frequent pattern mining commonly used?
In which applications is frequent pattern mining commonly used?
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What does the acronym 'AIS93' refer to in the context of frequent pattern analysis?
What does the acronym 'AIS93' refer to in the context of frequent pattern analysis?
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Study Notes
Frequent Pattern Mining
- A frequent pattern in data mining is a pattern that appears frequently in a dataset, providing insights into the underlying structure of the data.
History of Frequent Pattern Analysis
- The concept of frequent itemsets and association rule mining was first proposed by Rakesh Agrawal, Tomasz Imieliński, and Arun Swami in 1993.
Motivations for Frequent Pattern Analysis
- One of the key motivations for frequent pattern analysis is to identify patterns that can lead to actionable insights and discovery of hidden relationships in the data.
Applications of Frequent Pattern Mining
- Frequent pattern mining is commonly used in applications such as customer behavior analysis, recommender systems, and intrusion detection systems.
AIS93
- AIS93 is an acronym that refers to the 1993 paper "Mining Association Rules between Sets of Items in Large Databases" by Rakesh Agrawal, Tomasz Imieliński, and Arun Swami, which introduced the concept of frequent itemsets and association rule mining.
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