International Conference on Business Process Management最新文献_第2页

Measuring Inconsistency in Declarative Process Specifications 测量声明性过程规范中的不一致性

International Conference on Business Process Management Pub Date : 2022-06-14 DOI: 10.48550/arXiv.2206.07080

Carl Corea, J. Grant, Matthias Thimm

引用次数: 4

Detecting Context-Aware Deviations in Process Executions 检测进程执行中的上下文感知偏差

International Conference on Business Process Management Pub Date : 2022-06-11 DOI: 10.1007/978-3-031-16171-1_12

Gyunam Park, Janik-Vasily Benzin, Wil M.P. van der Aalst

引用次数: 2

Blockchain for Business Process Enactment: A Taxonomy and Systematic Literature Review 业务流程制定的区块链:分类和系统文献综述

International Conference on Business Process Management Pub Date : 2022-06-07 DOI: 10.1007/978-3-031-16168-1_1

Fabian Stiehle, I. Weber

引用次数: 8

An XES Extension for Uncertain Event Data 不确定事件数据的XES扩展

International Conference on Business Process Management Pub Date : 2022-04-08 DOI: 10.48550/arXiv.2204.04135

Marco Pegoraro, M. S. Uysal, Wil M.P. van der Aalst

引用次数: 2

Learning to act: a Reinforcement Learning approach to recommend the best next activities 学习行动:一种推荐最佳下一步活动的强化学习方法

International Conference on Business Process Management Pub Date : 2022-03-29 DOI: 10.48550/arXiv.2203.15398

Stefano Branchi, Chiara Di Francescomarino, Chiara Ghidini, David Massimo, Francesco Ricci, Massimiliano Ronzani

{"title":"Learning to act: a Reinforcement Learning approach to recommend the best next activities","authors":"Stefano Branchi, Chiara Di Francescomarino, Chiara Ghidini, David Massimo, Francesco Ricci, Massimiliano Ronzani","doi":"10.48550/arXiv.2203.15398","DOIUrl":"https://doi.org/10.48550/arXiv.2203.15398","url":null,"abstract":". The rise of process data availability has led in the last decade to the development of several data-driven learning approaches. However, most of these approaches limit themselves to use the learned model to predict the future of ongoing process executions. The goal of this paper is moving a step forward and leveraging data with the purpose of learning to act by supporting users with recommendations for the best strategy to follow, in order to optimize a measure of performance. In this paper, we take the (optimization) perspective of one process actor and we recommend the best activities to execute next, in response to what happens in a complex external environment, where there is no control on exogenous factors. To this aim, we investigate an approach that learns, by means of Reinforcement Learning, an optimal policy from the observation of past executions and recommends the best activities to carry on for optimizing a Key Performance Indicator of interest. The potentiality of the approach has been demonstrated on two scenarios taken from real-life data.","PeriodicalId":143924,"journal":{"name":"International Conference on Business Process Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114125531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Conformance Checking Over Stochastically Known Logs 随机已知日志的一致性检查

International Conference on Business Process Management Pub Date : 2022-03-14 DOI: 10.48550/arXiv.2203.07507

Eli Bogdanov, Izack Cohen, A. Gal

{"title":"Conformance Checking Over Stochastically Known Logs","authors":"Eli Bogdanov, Izack Cohen, A. Gal","doi":"10.48550/arXiv.2203.07507","DOIUrl":"https://doi.org/10.48550/arXiv.2203.07507","url":null,"abstract":"With the growing number of devices, sensors and digital systems, data logs may become uncertain due to, e.g., sensor reading inaccuracies or incorrect interpretation of readings by processing programs. At times, such uncertainties can be captured stochastically, especially when using probabilistic data classification models. In this work we focus on conformance checking, which compares a process model with an event log, when event logs are stochastically known. Building on existing alignment-based conformance checking fundamentals, we mathematically define a stochastic trace model, a stochastic synchronous product, and a cost function that reflects the uncertainty of events in a log. Then, we search for an optimal alignment over the reachability graph of the stochastic synchronous product for finding an optimal alignment between a model and a stochastic process observation. Via structured experiments with two well-known process mining benchmarks, we explore the behavior of the suggested stochastic conformance checking approach and compare it to a standard alignment-based approach as well as to an approach that creates a lower bound on performance. We envision the proposed stochastic conformance checking approach as a viable process mining component for future analysis of stochastic event logs.","PeriodicalId":143924,"journal":{"name":"International Conference on Business Process Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130708865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Systems Mining with Heraklit: The Next Step 赫拉克利特的系统挖掘:下一步

International Conference on Business Process Management Pub Date : 2022-02-02 DOI: 10.1007/978-3-031-16171-1_6

P. Fettke, W. Reisig

引用次数: 4

Augmenting Modelers with Semantic Autocompletion of Processes 用过程的语义自动完成增强建模器

International Conference on Business Process Management Pub Date : 2021-05-24 DOI: 10.1007/978-3-030-85440-9_2

M. Goldstein, Cecilia González-Alvarez

引用次数: 4

A Robust and Accurate Approach to Detect Process Drifts from Event Streams 从事件流中检测过程漂移的一种鲁棒和精确的方法

International Conference on Business Process Management Pub Date : 2021-03-19 DOI: 10.1007/978-3-030-85469-0_24

Yang Lu, Qifan Chen, Simon K. Poon

引用次数: 4

CoCoMoT: Conformance Checking of Multi-Perspective Processes via SMT (Extended Version) CoCoMoT:通过SMT进行多视角过程的一致性检查(扩展版)

International Conference on Business Process Management Pub Date : 2021-03-18 DOI: 10.1007/978-3-030-85469-0_15

Paolo Felli, Alessandro Gianola, M. Montali, Andrey Rivkin, S. Winkler

引用次数: 16