SCARI: Separate and conquer algorithm for action rules and recommendations induction

This article describes an action rule induction Algorithm based on a sequential covering. Two variants of the Algorithm are presented. The Algorithm allows the action rule induction from a source and a target decision class point of view. The application of rule quality measures enables the induction of action rules that meet various quality criteria. The article also presents a method for recommendation induction. A recommendation indicates the actions required to move an example representing a given source class to the appropriate target class. The recommendation method is based on a set of induced action rules. The experimental part of the article presents the results of the Algorithm operation on sixteen data sets. As a result of the conducted research, the Ac-Rules package was made available.