Sequences Visualizer

The Sequences Visualizer shows models that are created with the Sequence Rule mining function.

The Sequence Rule mining function finds typical sequences of events in your data. In previous versions of Intelligent Miner® for Data, the Sequence Rule mining function was called Sequential Patterns mining function.

Sequence Rule 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.

A sequence is an ordered set of item sets. The item sets are ordered by time. An item set is a collection of items. There are also singleton item sets that contain only one item. An item is a single part in a collection of parts. A transaction is a set of items that are linked by a common key value. For example, in a car repair scenario, the item sets might represent the repair orders. The items represent the spare parts that are required for a repair order. The transaction is the set of spare parts that are required for a particular repair order.

An item can be, for example, an article such as an apple in the retail industry, or a malfunctioning car part such as the sliding roof in a warranty scenario for cars.

The Sequences Visualizer provides the following views: