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:
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.
Extracts and generates replacement rules from frequent itemsets.
Frequent Itemsets Mining
Extracts recurrent item associations from a dataset.
Hierarchical Basket Analysis
Generates association rules from frequent itemsets.
Extracts frequent sequences from event logs.
Similar Items Detector
Generates description-based and sales-based replacement rules.