Pair-Based Object-Driven Action Rules
Ayman Hajja , Alicja A. Wieczorkowska , Zbigniew W. Raś , Ryszard Gubrynowicz
AbstractAction rules, as proposed by Raś and Wieczorkowska in , 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 . 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.
Annalisa Appice, Ceci Michelangelo , Loglisci Corrado, Manco Giuseppe, Masciari Elio, Raś Zbigniew W. (eds.): New Frontiers in Mining Complex Patterns, Lecture Notes in Artificial Intelligence, vol. 7765, 2013, Heidelberg Dordrecht London New York, Springer Berlin Heidelberg, ISBN 978-3-642-37381-7, [978-3-642-37382-4], 231 p., DOI:10.1007/978-3-642-37382-4
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|Score|| = 10.0, 02-03-2020, BookChapterSeriesAndMatConfByIndicator|
= 15.0, 02-03-2020, BookChapterSeriesAndMatConfByIndicator
|Publication indicators||= 4|
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