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Questions and Answers
What is the primary goal of market basket analysis in the context of this scenario?
What type of association rule is being implied in this scenario, where the purchase of milk is related to the purchase of another item?
If the confidence of the rule 'milk → apple' is higher than the confidence of the rule 'milk → cheese', what can be inferred?
What is the lift of the rule 'milk → apple' if the probability of buying apples given milk is 0.6 and the probability of buying apples is 0.2?
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In the context of conditional probability, what is the meaning of P(apple|milk) > P(apple)?
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What is the primary function of market basket analysis in data mining?
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Which of the following measures is used to evaluate the strength of association between two items in a market basket?
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If the support of the rule 'milk → apple' is 0.3, what percentage of transactions in the dataset contain both milk and apple?
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A market basket analysis reveals that the lift of the rule 'milk → apple' is 2. What can be inferred from this result?
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What is the primary advantage of using market basket analysis in data mining?
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Study Notes
Market Basket Analysis
- Market basket analysis helps shops adjust their store layout and catalog by identifying which groups of customers are inclined towards certain products.
- It plays a crucial role in various areas, including:
- Customer analytics
- Product clustering
- Catalog design
- Store layout
Understanding Consumer Behavior
- Market basket analysis helps determine the likelihood of consumers buying certain products together.
- For example, a customer who buys milk is more likely to buy cheese and apples in the same transaction than someone who does not buy milk.
- This analysis helps shops understand consumer behavior and optimize their product placement accordingly.
Market Basket Analysis
- Helps businesses understand which groups of customers are inclined towards specific sets of items
- Enables shops to adjust store layout and catalog to optimize item placement
- Plays a crucial role in:
- Customer analytics
- Market basket analysis
- Product clustering
- Catalog design
- Store layout
Benefits of Market Basket Analysis
- Finds interesting associations and correlation relationships among large sets of data items
- Identifies attribute value conditions that occur frequently together in a given dataset
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Description
Understanding market basket analysis helps retailers arrange their store layout and catalog to optimize product placement. This quiz tests your knowledge of the concept.
