Entropy as a Measure of Log Variability
Author:
Funder
Det Frie Forskningsråd
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Information Systems
Link
http://link.springer.com/content/pdf/10.1007/s13740-019-00105-3.pdf
Reference46 articles.
1. Back CO, Debois S, Slaats T (2018) Towards an entropy-based analysis of log variability. In: Teniente E, Weidlich M (eds) Business process management workshops. Lecture notes in business information processing, vol 308. Springer, Cham, pp 53–70
2. van der Aalst WMP (1998) The application of Petri nets to workflow management. J Circuits Syst Comput 08:21–66. https://doi.org/10.1142/S0218126698000043
3. Object Management Group (2011) Business process modeling notation version 2.0. Technical report, Object Management Group Final Adopted Specification
4. Pesic M, Schonenberg H, van der Aalst W (2007) Declare: full support for loosely-structured processes. In: EDOC 2007, pp 287–300
5. Debois S, Hildebrandt T, Slaats T (2015) Safety, liveness and run-time refinement for modular process-aware information systems with dynamic sub processes. In: International symposium on formal methods. Springer, Berlin, pp 143–160
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Quantifying and Relating the Completeness and Diversity of Process Representations Using Species Estimation;2024
2. Trace vs. Time: Entropy Analysis and Event Predictability of Traceless Event Sequencing;Lecture Notes in Business Information Processing;2024
3. Managing Variability of Large Public Administration Event Log Collections: Dealing with Concept Drift;Lecture Notes in Business Information Processing;2023
4. Assessment of the feasibility of developing a clinical pathway using a clinical order log;Journal of Biomedical Informatics;2022-04
5. How do I update my model? On the resilience of Predictive Process Monitoring models to change;Knowledge and Information Systems;2022-03-21
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3