Min-hyuck Jin, Kwang-hoon Pio Kim, Journal of Internet Computing and Services, Vol. 19, No. 6, pp. 83-89, Dec. 2018
10.7472/jksii.2018.19.6.83, Full Text:  HTML
Keywords: process-aware datacubes, workflow process mining, workflow process analytics, temporal workcase, temporal worktransference, XES format, workflow event log data center

Abstract

In workflow process intelligence and systems, workflow process mining and analysis issues are becoming increasingly important. In order to improve the quality of workflow process intelligence, it is essential for an efficient and effective data center storing workflow enactment event logs to be provisioned in carrying out the workflow process mining and analytics. In this paper, we propose a three-dimensional process-aware datacube for organizing workflow enterprise data centers to efficiently as well as effectively store the workflow process enactment event logs in the XES format. As a validation step, we carry out an experimental process mining to show how much perfectly the process-aware datacubes are suitable for discovering workflow process patterns and its analytical knowledge, like enacted proportions and enacted work transferences, from the workflow process enactment event histories. Finally, we confirmed that it is feasible to discover the fundamental control-flow patterns of workflow processes through the implemented workflow process mining system based on the process-aware data cube.

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