Information-preserving abstractions of event data in process mining
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software
Link
http://link.springer.com/content/pdf/10.1007/s10115-019-01376-9.pdf
Reference47 articles.
1. van der Aalst WMP (2016) Process mining–data science in action, 2nd edn. Springer, Berlin. https://doi.org/10.1007/978-3-662-49851-4
2. Buijs JCAM, van Dongen BF, van der Aalst WMP (2014) Quality dimensions in process discovery: the importance of fitness, precision, generalization and simplicity. Int J Cooperative Inf Syst. https://doi.org/10.1142/S0218843014400012
3. van der Aalst WMP, Weijters AJMM, Maruster L (2004) Workflow mining: discovering process models from event logs. IEEE Trans Knowl Data Eng 16:1128–1142
4. vanden Broucke SKLM, Weerdt JD (2017) Fodina: a robust and flexible heuristic process discovery technique. Decis Support Syst 100:109–118
5. Leemans SJJ, Fahland D, van der Aalst WMP (2013) Discovering block-structured process models from event logs—a constructive approach. In: PETRI NETS 2013. Lecture notes in computer science, vol 7927. Springer, pp 311–329. https://doi.org/10.1007/978-3-642-38697-8_17
Cited by 16 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. CarbonKG: Industrial Carbon Emission Knowledge Graph-Based Modeling and Application for Carbon Traceability of Complex Manufacturing Process;Journal of Computing and Information Science in Engineering;2024-04-16
2. Foundations and practice of binary process discovery;Information Systems;2024-03
3. Supervised learning of process discovery techniques using graph neural networks;Information Systems;2023-05
4. An integer linear programming model to improve the dependency graph discovery step of heuristics miner methods;Knowledge and Information Systems;2023-01-13
5. Process mining for healthcare decision analytics with micro-costing estimations;Artificial Intelligence in Medicine;2023-01
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