Abstract
There are two frameworks for generating action rules: loosely coupled and tighty coupled [21]. The loosely coupled framework is often called rule-based. It is based on pairing certain classification rules which have to be discovered first by using for instance algorithms such as LERS [13] or ERID [5], [7]. The tightly coupled framework is often called object-based and it assumes that action rules are discovered directly from a database [6], [16], [18]. Classical methods for discovering them follow algorithms either based on frequent sets (called action sets) and association rules mining [3] or they use algorithms such as LERS or ERID with atomic action sets used as their starting step.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Dardzinska, A. (2013). Action Rules. In: Action Rules Mining. Studies in Computational Intelligence, vol 468. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35650-6_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-35650-6_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35649-0
Online ISBN: 978-3-642-35650-6
eBook Packages: EngineeringEngineering (R0)