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. © 2013 Springer-Verlag.
CITATION STYLE
Hajja, A., Wieczorkowska, A. A., Ras, Z. W., & Gubrynowicz, R. (2013). Pair-based object-driven action rules. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7765 LNAI, pp. 79–93). https://doi.org/10.1007/978-3-642-37382-4_6
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