Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Action-Rules: How to Increase Profit of a Company
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
ICDMW '08 Proceedings of the 2008 IEEE International Conference on Data Mining Workshops
Action Rules and the GUHA Method: Preliminary Considerations and Results
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Mining action rules from scratch
Expert Systems with Applications: An International Journal
ARAS: action rules discovery based on agglomerative strategy
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
Advances in Music Information Retrieval
Advances in Music Information Retrieval
From Tinnitus Data to Action Rules and Tinnitus Treatment
GRC '10 Proceedings of the 2010 IEEE International Conference on Granular Computing
From data to classification rules and actions
International Journal of Intelligent Systems
Action rules discovery system DEAR_3
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
The rough set exploration system
Transactions on Rough Sets III
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Action rules, as proposed by Raś and Wieczorkowska in [11], can be defined as actionable tasks that describe possible transitions of objects from one state to another with respect to a distinguished attribute. Recently, a new specialized case of action rules, namely object-driven action rules, has been introduced by Ayman et al. in [4]. Object-driven action rules are action rules that are extracted from information systems with temporal and object-based nature. By object-based nature, we refer to systems that contain multiple observations for each object. A typical example of an object-based system would be a system of patients recording multiple visits; each patient is considered a distinct object. In this paper, we will further investigate the concept of object-driven action rules by proposing a new pair-based way of examining object-driven systems, which we believe is more intuitive for temporal and object-driven systems. The focus of this paper will be on our proposed pair-based approach, along with the modifications required to extract action rules and calculate their properties.