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ÇѱÛÁ¦¸ñ(Korean Title) |
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¿µ¹®Á¦¸ñ(English Title) |
A Data Exchange Method of Integrated Java-Python Executable Modules for Process Mining and Visualizing Systems |
ÀúÀÚ(Author) |
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Dinh-Lam Pham
Hyun Ahn
Kyoung-Sook Kim
Kwanghoon Pio Kim
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¿ø¹®¼ö·Ïó(Citation) |
VOL 20 NO. 02 PP. 0019 ~ 0020 (2019. 11) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
In recent years, the process mining technology has been increasingly developing and applying its advanced techniques for resolving the challenging issues of process-aware knowledge discovery by integrating heterogeneous programming and executable platforms and environments. The recorded operating history helps us understand what happened inside the system; The algorithms in the field of process mining give us a more multi-dimensional view of the performance of the system. Process mining allows us to identify models, evaluate the performance of involved components. Because of these advantages, more and more process mining systems and tools are built. In this paper, we explore integrating Java and Python to create a Process mining tool. More precisely, we propose a data exchange method for Java and Python to work together in a single process mining system. The results of this study will help save time, improve efficiency in building a process mining system, and take advantage of both Java and Python in one system.
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Å°¿öµå(Keyword) |
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