Solving Association Problems in Rulex
Association problems aim to retrieve rules that can identify relations between variables associated with the same identifier (e.g. a supermarket customer).
The output can be a set of frequent itemsets or actual association rules.
Rulex Association Tasks
Rulex provides the following tasks to solve association problems:
Task | Description | Link |
|---|---|---|
Anomaly Detection | Extracts and characterizes anomalies from an event log, singling out the events in the flow which do not fit with any of the frequent sequences in the process model. | |
Assortment Optimizer | Extracts and generates replacement rules from frequent itemsets. | |
Frequent Itemsets Mining | Extracts recurrent item associations from a dataset. | Using Frequent Itemsets Mining to Solve Association Problems |
Hierarchical Basket Analysis | Generates association rules from frequent itemsets. | Using Hierarchical Basket Analysis to Solve Association Problems |
Sequence Analysis | Extracts frequent sequences from event logs. | |
Similar Items Detector | Generates description-based and sales-based replacement rules. |