November 2017
Beginner to intermediate
366 pages
7h 59m
English
Content preview from R Data Analysis Projects
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Association Rule Mining
This chapter is ordered in ascending complexity. We will start with our use case, designing a cross-sell campaign for an imaginative retailer. We will define the goals for this campaign and the success criteria for these goals. Having defined our problem, we will proceed to our first recommendation algorithm, association rule mining. Association rule mining, also called market basket analysis, is a method used to analyze transaction data to extract product associations.
The subsequent sections are devoted to unveiling the plain vanilla version of association rule mining and introducing some of the interest measures. We will then proceed to find ways to establish the minimum support and confidence thresholds, the major ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.