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.(c) 2022 Elsevier Inc. All rights reserved.

Automated summary

This article introduces an action rule induction Algorithm based on sequential covering, with two variants presented, allowing induction of action rules from a source and target decision class perspective. A recommendation induction method is also presented, based on a set of induced action rules, to recommend actions needed to move examples from a given source class to the appropriate target class.