Abstract
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.
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Hajja, A., Wieczorkowska, A.A., Ras, Z.W., Gubrynowicz, R. (2013). Pair-Based Object-Driven Action Rules. In: Appice, A., Ceci, M., Loglisci, C., Manco, G., Masciari, E., Ras, Z.W. (eds) New Frontiers in Mining Complex Patterns. NFMCP 2012. Lecture Notes in Computer Science(), vol 7765. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37382-4_6
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DOI: https://doi.org/10.1007/978-3-642-37382-4_6
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