Association rules mining
An association rule mathematically describes the relationship items involved in various transactions. It does this by investigating the relationship between two item sets in the form X ⇒ Y, where 
, 
. In addition, X and Y are non overlapping item sets; which means that 
.
An association rule could be described in the following form:
{helmets, balls} ⇒ {bike}
Here, {helmets, balls} is X, and {bike} is Y.
Let us look into the different types of association rules.
Types of rules
Running associative analysis algorithms will typically result in the generation of a large number of rules from a transaction dataset. Most of them are useless. To pick rules that can result in useful information, we can classify them as one of the following three types:
- Trivial
- Inexplicable
- Actionable
Let’s look at each of these types in more detail.
Trivial rules
Among the large numbers of rules generated...
