Discovering soft drinks and ice are commonly purchased together is which of the following types of data mining analysis?
Question: Discovering soft drinks and ice are commonly purchased together is which of the following types of data mining analysis?
The discovery that soft drinks and ice are commonly purchased together is an example of association rule mining, which is a type of data mining analysis that seeks to identify relationships between variables in large data sets. Association rule mining is used to discover interesting patterns or relationships between variables, such as the fact that certain items are often purchased together. In this case, the data mining analysis would likely involve examining point-of-sale data from a large number of transactions in order to identify patterns in the items that are purchased together. Once these patterns are identified, they can be used to inform marketing strategies, store layouts, and other business decisions that seek to maximize sales and customer satisfaction. Overall, association rule mining is a valuable tool for identifying patterns and relationships in large data sets, and is commonly used in fields such as marketing, retail, and e-commerce to gain insights into customer behavior and preferences.
Rjwala is your freely Ai Social Learning Platform. here our team solve your academic problems daily.
0 Komentar
Post a Comment