Book Image

R for Data Science

By : Dan Toomey
Book Image

R for Data Science

By: Dan Toomey

Overview of this book

Table of Contents (19 chapters)


We will go over several methods of determining patterns in data:

Type of model

How the model works


This model is used for itemset pattern detection, often used for shopping carts


This model determines the co-occurrence of items in a dataset


This model learns the association rules in a dataset


This is an R package for mining sequences


The Eclat algorithm is used for frequent itemset mining. In this case, we are looking for similar patterns in behavior, as opposed to looking for irregularities (like we did in other data mining approaches).

This algorithm uses intersections in the data to compute the support of candidates for events that frequently occur together, such as shopping cart items. The frequent candidates are then tested to confirm the pattern in the dataset.


Eclat is used in R programming with the eclat function in the arules package. The R programming usage of the Eclat algorithm follows this convention:

> eclat...