The Sequence Rules mining function finds typical
sequences of events
in your data.
Concepts
Sequence Rules models contain various sequence rules.
A sequence rule consists of a previous sequence in the rule
body that leads to a consecutive item set in the rule head.
The consecutive item set occurs after a particular period of time.
Sequence rules characteristics
Sequence rules, sequences, and item sets have various characteristics.
With these characteristics, you can control the results of the mining
runs.
Name mappings
A name mapping maps a field value in the physical data
to another more meaningful name.
Taxonomies
You can make the associations or the sequences that are
found among items more meaningful if you group the items in categories.
You can group these categories again into subcategories. The result
is a hierarchy of categories with the items on the lowest level. This
is called a taxonomy.
Rule filter constraints
You can limit the rules to be
included in a model by applying rule
filters in an Associations training run or in a Sequence Rules training
run.