Practical Big Data Analytics

Association rules

Association rules mining, or apriori, attempts to find relationships between variables in a dataset. Association rules are frequently used for various practical real-world use cases. Given a set of variables, apriori can indicate the patterns inherent in a transactional dataset. One of our tutorials will be based on implementing an R Shiny Application for apriori and hence, more emphasis is being provided for the same in this section.

For instance, let's say a supermarket chain is deciding the order for placing items on the shelves. An apriori algorithm run against a database containing sales transactions would identify the items that, say, are most often bought together. This permits the supermarket to determine which items, ...