Expected gain based early warning for real-time process monitoring
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kang, B. | - |
dc.contributor.author | Kim, D. | - |
dc.contributor.author | Kang, S.-H. | - |
dc.date.available | 2018-05-10T13:34:06Z | - |
dc.date.created | 2018-04-17 | - |
dc.date.issued | 2011 | - |
dc.identifier.issn | 1881-803X | - |
dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/14452 | - |
dc.description.abstract | This paper proposes a novel approach to real-time process monitoring using expected gain based early warning. At every monitoring period, a probability to satisfy the targeted outcome is estimated by an extended decision tree algorithm. Then, the expected gains and losses are estimated for decision alternatives: executions are stopped or continue until completion. If the expected gain of stopping is larger, the early warning is generated to provide intuitions about unstable status of the ongoing process. We conducted experiments to show how the real-time process monitoring is implemented and the early warning is generated. The proposed approach can provide sophisticated indicators reflecting the real-time progress of the ongoing process based on the observed attributes until the monitoring instant and possible outcomes after that. ICIC International © 2011. | - |
dc.relation.isPartOf | ICIC Express Letters | - |
dc.subject | Business Activity Monitoring | - |
dc.subject | Decision-tree algorithm | - |
dc.subject | Early warning | - |
dc.subject | Monitoring periods | - |
dc.subject | Real-time process monitoring | - |
dc.subject | Time progress | - |
dc.subject | Decision trees | - |
dc.subject | Process control | - |
dc.subject | Process monitoring | - |
dc.title | Expected gain based early warning for real-time process monitoring | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | ICIC Express Letters, v.5, no.4 A, pp.1151 - 1156 | - |
dc.description.journalClass | 1 | - |
dc.identifier.scopusid | 2-s2.0-79952429000 | - |
dc.citation.endPage | 1156 | - |
dc.citation.number | 4 A | - |
dc.citation.startPage | 1151 | - |
dc.citation.title | ICIC Express Letters | - |
dc.citation.volume | 5 | - |
dc.contributor.affiliatedAuthor | Kim, D. | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Business activity monitoring | - |
dc.subject.keywordAuthor | Decision tree | - |
dc.subject.keywordAuthor | Real-time process monitoring | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Soongsil University Library 369 Sangdo-Ro, Dongjak-Gu, Seoul, Korea (06978)02-820-0733
COPYRIGHT ⓒ SOONGSIL UNIVERSITY, ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.