Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Yulim Choi"'
Publikováno v:
Applied Sciences, Vol 11, Iss 21, p 9848 (2021)
Event logs generated by Process-Aware Information Systems (PAIS) provide many opportunities for analysis that are expected to help organizations optimize their business processes. The ability to monitor business processes proactively can allow an org
Externí odkaz:
https://doaj.org/article/c6cfaf8323724a16a6b6764029f4a06b
Publikováno v:
In Neurocomputing 21 January 2020 374:64-76
Publikováno v:
Applied Sciences
Volume 11
Issue 21
Applied Sciences, Vol 11, Iss 9848, p 9848 (2021)
Volume 11
Issue 21
Applied Sciences, Vol 11, Iss 9848, p 9848 (2021)
Event logs generated by Process-Aware Information Systems (PAIS) provide many opportunities for analysis that are expected to help organizations optimize their business processes. The ability to monitor business processes proactively can allow an org
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ecd4aaed09a21b46c04d8ea265aa1fc
Publikováno v:
Journal of the Korean Institute of Industrial Engineers. 45:111-116
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fb73fe1679c667eeccd918722d74a30
https://doi.org/10.7232/jkiie.2019.45.2.111
https://doi.org/10.7232/jkiie.2019.45.2.111
Publikováno v:
Procedia Computer Science. 161:1080-1088
Most process mining study focuses on analysis of past data. This differs from predictive process monitoring, which, as a part of operational support, has as one of its focuses on the prediction of a running case [1]. Although there are several measur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34081ca543449e98038f1a7cd43ec4c4
https://doi.org/10.1016/j.procs.2019.11.219
https://doi.org/10.1016/j.procs.2019.11.219
Publikováno v:
BigComp
Induction melting furnace is the heating chamber induct electricity to melt metal. The Induction melting furnace is widely used for modern foundries, which manufacture their products by casting or ironmaking. In the operating process, heat from melte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca72d339f0bc361750ad1a58e66d6883
https://doi.org/10.1109/bigcomp48618.2020.00021
https://doi.org/10.1109/bigcomp48618.2020.00021
Publikováno v:
ICPM
The event log recorded through an information system may be missing for various reasons, which fact may result in an imperfect event log. Performing analyses using such an imperfect event log can seriously affect the quality of the obtained results.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c646bb44310cc735af07ba66513588f0
https://doi.org/10.1109/icpm.2019.00013
https://doi.org/10.1109/icpm.2019.00013
Autor:
Iq Reviessay Pulshashi, Yulim Choi, Sanghyuck Park, Riska Asriana Sutrisnowati, Hyerim Bae, Byeongjun Joo, Ahmad Dzulfikar Adi Putra, Wahyu Andy Prastyabudi
Publikováno v:
Procedia Computer Science. 72:453-460
This paper presents a data analytics tool, BAB (Best Analytics of Big Data), that combines Hadoop Map-Reduce algorithms with cloud computing and process mining to accommodate the data explosion in business fields. Both academics and professionals can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7147665a49749b0095f1ad3e5608c61
https://doi.org/10.1016/j.procs.2015.12.126
https://doi.org/10.1016/j.procs.2015.12.126
Publikováno v:
CIC
In Big data and IoT environments, a huge-sized data is created as the result of process execution, some of which are generated by sensors. The main issue of such application has been to analyze the data in order to suggest enhancements to the process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::faaf897875ad799b36b9be78e6407135
https://doi.org/10.1109/cic.2016.040
https://doi.org/10.1109/cic.2016.040
Statistical Verification of Process Model Conformance to Execution Log Considering Model Abstraction
Publikováno v:
International Journal of Cooperative Information Systems. 27:1850002
In Big data and IoT environments, process execution generates huge-sized data some of which is subsequently obtained by sensors. The main issue in such areas has been the necessity of analyzing data in order to suggest enhancements to processes. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb5a17d48d022bb858c95a9434d30801
https://doi.org/10.1142/s0218843018500028
https://doi.org/10.1142/s0218843018500028