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Chapter 27: Problem 7

Describe an association rule among hierarchies with an example.

Short Answer

Expert verified
An association rule among hierarchies identifies patterns where the purchase (or occurrence) of an item under a particular hierarchy is strongly associated with the purchase (or occurrence) of another item under a different hierarchy. An example would be 'If a person purchases a house (Real estate > Residential property > Houses), they are also likely to buy home insurance (Insurance > Property insurance > Home insurance).'

Step by step solution

01

Understanding Association Rules

Association rules are a popular and straightforward method for discovering interesting relations between variables in large databases. They serve to identify and understand patterns and relationships between different sets of data from a database. An example of an association rule could be 'If a person buys a pencil, they also tend to buy a notebook.' This rule indicates how the purchase of a pencil (antecedent) is associated with the purchase of a notebook (consequent).
02

Understanding Hierarchies

Hierarchies in data analysis refer to the arrangement of data items in an order of sequence, emphasizing their relationships with each other. Primarily, hierarchies are arranged in the form of a tree structure, where each item (except the one at the top) is a subdivision of the item above it. Hierarchies can be present in various types of databases, such as in the context of product categories in a retail store. An example of a hierarchy could be 'Electronics > Computers > Laptops'.
03

Association Rule Among Hierarchies with an Example

An association rule among hierarchies works in the same way as the regular association rule explained in Step 1, but it incorporates the concept of hierarchies in the rule. For instance, 'If a person buys a house (Real estate > Residential property > Houses), they are also likely to buy home insurance (Insurance > Property insurance > Home insurance).' Here, the rule is associating two products situated at the end of their respective hierarchies. Thus, this rule helps to identify a pattern where the purchase of one product within a certain hierarchy is strongly associated with the purchase of another product belonging to a different hierarchy.

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