Using a glow graph to represent data flow and dependency in event logs

Aldahami, Abdulelah, Li, Yuefeng, & Chan, Taizan (2015) Using a glow graph to represent data flow and dependency in event logs. In International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2015), 6-9 December 2015, Singapore.

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The idea of extracting knowledge in process mining is a descendant of data mining. Both mining disciplines emphasise data flow and relations among elements in the data. Unfortunately, challenges have been encountered when working with the data flow and relations. One of the challenges is that the representation of the data flow between a pair of elements or tasks is insufficiently simplified and formulated, as it considers only a one-to-one data flow relation. In this paper, we discuss how the effectiveness of knowledge representation can be extended in both disciplines. To this end, we introduce a new representation of the data flow and dependency formulation using a flow graph. The flow graph solves the issue of the insufficiency of presenting other relation types, such as many-to-one and one-to-many relations. As an experiment, a new evaluation framework is applied to the Teleclaim process in order to show how this method can provide us with more precise results when compared with other representations.

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ID Code: 94177
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: data flow graphs;data mining;knowledge representation;Teleclaim process;data flow relation;data flow representation;data mining;dependency formulation;event logs;flow graph;knowledge extraction;knowledge representation;many-to-one relations;one-to-many re
DOI: 10.1109/WI-IAT.2015.213
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > Schools > School of Information Systems
Copyright Owner: Copyright 2015 IEEE
Deposited On: 24 Mar 2016 00:27
Last Modified: 04 Apr 2016 03:54

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