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.