Chapter 5.  Market Basket Analysis with Groceries Data

Think about a scenario from a retailer or e-commerce store manager when it comes to recommending the right products to customers. Product recommendation is one important domain in data mining practice. Product recommendation can happen in three different ways: by associating customer's behavior with their purchase history, by associating items that are being purchased on each visit, and lastly by looking at the gross sales in each category and then using the retailer's past experience. In this chapter, we will be looking at the second method of product recommendation, popularly known as Market Basket Analysis (MBA) also known as association rules, which is by associating items purchased at ...

Get R: Mining Spatial, Text, Web, and Social Media Data now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.