Chapter 2. Mining Frequent Patterns, Associations, and Correlations
In this chapter, we will learn how to mine frequent patterns, association rules, and correlation rules when working with R programs. Then, we will evaluate all these methods with benchmark data to determine the interestingness of the frequent patterns and rules. We will cover the following topics in this chapter:
- Introduction to associations and patterns
- Market basket analysis
- Hybrid association rules mining
- Mining sequence datasets
- High-performance algorithms
The algorithms to find frequent items from various data types can be applied to numeric or categorical data. Most of these algorithms have one common basic algorithmic form, which is A-Priori, depending on certain circumstances. ...
Get R: Data Analysis and Visualization 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.
