Patterns

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

Type of model	How the model works
eclat	This model is used for itemset pattern detection, often used for shopping carts
arules	This model determines the co-occurrence of items in a dataset
apriori	This model learns the association rules in a dataset
TraMineR	This is an R package for mining sequences

Eclat

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.

Usage

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...