標(biāo)題: Titlebook: Business Process Management; 21st International C Chiara Di Francescomarino,Andrea Burattin,Shazia S Conference proceedings 2023 The Editor [打印本頁] 作者: 吞食 時(shí)間: 2025-3-21 16:55
書目名稱Business Process Management影響因子(影響力)
書目名稱Business Process Management影響因子(影響力)學(xué)科排名
書目名稱Business Process Management網(wǎng)絡(luò)公開度
書目名稱Business Process Management網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Business Process Management被引頻次
書目名稱Business Process Management被引頻次學(xué)科排名
書目名稱Business Process Management年度引用
書目名稱Business Process Management年度引用學(xué)科排名
書目名稱Business Process Management讀者反饋
書目名稱Business Process Management讀者反饋學(xué)科排名
作者: 暫時(shí)過來 時(shí)間: 2025-3-21 21:45
Event Abstraction for?Partial Order Patternsn framework based on partial order patterns. We extract the candidate pattern instances and abstract event data based on the pattern instances identified. Moreover, we instantiate the framework and optimize the implementation. The framework is evaluated with synthetic event data, and a case study ba作者: Kidney-Failure 時(shí)間: 2025-3-22 03:00 作者: 控制 時(shí)間: 2025-3-22 08:29 作者: Concomitant 時(shí)間: 2025-3-22 09:49
POWL: Partially Ordered Workflow Languageure; i.e., POWL models can be combined into a new model either using a control-flow operator or as a partial order. We propose an initial approach to demonstrate the feasibility of using POWL models for process discovery, and we evaluate our approach based on real-life data.作者: 不給啤 時(shí)間: 2025-3-22 15:41 作者: 凹槽 時(shí)間: 2025-3-22 20:11 作者: 疼死我了 時(shí)間: 2025-3-22 23:27 作者: 思想靈活 時(shí)間: 2025-3-23 04:46 作者: semble 時(shí)間: 2025-3-23 06:46 作者: 友好 時(shí)間: 2025-3-23 10:18 作者: 走調(diào) 時(shí)間: 2025-3-23 14:31 作者: 你不公正 時(shí)間: 2025-3-23 22:01 作者: 憎惡 時(shí)間: 2025-3-24 01:53 作者: diathermy 時(shí)間: 2025-3-24 04:07
https://doi.org/10.1007/978-1-59259-887-8n framework based on partial order patterns. We extract the candidate pattern instances and abstract event data based on the pattern instances identified. Moreover, we instantiate the framework and optimize the implementation. The framework is evaluated with synthetic event data, and a case study ba作者: microscopic 時(shí)間: 2025-3-24 10:33
https://doi.org/10.1007/978-1-59259-887-8rocess behavior recorded in trace fragments, thus supporting incomplete data. Our experiments show promising results indicating that using trace fragments within IPD leads to high-quality process models.作者: Foolproof 時(shí)間: 2025-3-24 12:40 作者: 杠桿支點(diǎn) 時(shí)間: 2025-3-24 17:31
Medicinal Plants of the World, Volume 3ure; i.e., POWL models can be combined into a new model either using a control-flow operator or as a partial order. We propose an initial approach to demonstrate the feasibility of using POWL models for process discovery, and we evaluate our approach based on real-life data.作者: Ventricle 時(shí)間: 2025-3-24 19:54
Medicinal Plants of the World, Volume 3e process instance execution so far, including the process-variable values, the activity firing history, etc. This paper aims to investigate how process states can be leveraged to improve activity firing probabilities. A technique has been put forward and compared with the baseline where basic branc作者: Intrepid 時(shí)間: 2025-3-25 02:50 作者: 生氣的邊緣 時(shí)間: 2025-3-25 05:05
Medicinal Plants of the World, Volume 3irections, like latency and confidentiality. We implement our approach prototypical and evaluate it both qualitatively (w.r.t. assumptions and guarantees) and quantitatively (w.r.t. correctness and gas cost). In short, while the initial deployment effort is higher with state channels, it typically p作者: 安裝 時(shí)間: 2025-3-25 10:06
Medicinal Plants of the World, Volume 3t. To evaluate the framework, we define a taxonomy of archetypical assignment problems. We show for three cases that A-E PN can be used to learn close-to-optimal assignment policies. Our results suggest that A-E PN can be used to model and solve a broad range of dynamic task assignment problems.作者: Soliloquy 時(shí)間: 2025-3-25 15:32
Medicinal Plants of the World, Volume 3en proposed to relabel the recordings of the same activity occurring in significantly different execution contexts. Yet, the state-of-the-art label-splitting algorithm adopts a trace-level-mapping strategy, yielding inferior results in the presence of loop constructs and infeasible computation time.作者: NOMAD 時(shí)間: 2025-3-25 19:18
https://doi.org/10.1007/978-1-59259-887-8liance patterns. It then contrasts these patterns with resource patterns reflecting the process perspective, while considering the natural language perspective. We combine the state-of-the-art GPT-4 technology for pre-processing the natural language text with a customized compliance verification com作者: 責(zé)難 時(shí)間: 2025-3-25 23:48 作者: 轉(zhuǎn)換 時(shí)間: 2025-3-26 03:43 作者: 屈尊 時(shí)間: 2025-3-26 04:32
0302-9743 ce in Utrecht, The Netherlands, in September 2023.?.The 27 papers included in this book were carefully reviewed and selected from 151 submissions. They were organized in three main research tracks: Foundations, engineering, and management.?.978-3-031-41619-4978-3-031-41620-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: CROAK 時(shí)間: 2025-3-26 09:15 作者: Angioplasty 時(shí)間: 2025-3-26 14:50 作者: compose 時(shí)間: 2025-3-26 20:28 作者: 勤勉 時(shí)間: 2025-3-26 23:21
Medicinal Plants of the World, Volume 3een significant industrial adoption. The problem of aligning traces with DCR Graphs, with it’s multitude of applications such as conformance checking and log repair, has surprisingly not been solved yet. In this paper we address this open gap in the research by developing an algorithm for efficientl作者: MUTED 時(shí)間: 2025-3-27 03:46 作者: 輕彈 時(shí)間: 2025-3-27 08:36
https://doi.org/10.1007/978-1-59259-887-8 and organizations, there does not exist a universal technique to allow for putting the process mining outcome directly into action. Various techniques have been developed to support human analysis. Meanwhile, as raw event data are often provided at the system level, the . is applied to “l(fā)ift” the d作者: 合唱團(tuán) 時(shí)間: 2025-3-27 11:06 作者: 一再煩擾 時(shí)間: 2025-3-27 14:06 作者: Palter 時(shí)間: 2025-3-27 21:34 作者: 關(guān)節(jié)炎 時(shí)間: 2025-3-28 00:29
Medicinal Plants of the World, Volume 3ale for large process models and event logs, which hampers its broader adoption..In this paper, we present a polynomial-time method to compute the markovian-based fitness and precision metrics for process trees. For that, we first show that this is equivalent to the problem of computing the set of s作者: Merited 時(shí)間: 2025-3-28 04:29
Medicinal Plants of the World, Volume 3 how to improve a business process. Process simulation requires one to provide a simulation model, which should accurately reflect reality to ensure the reliability of the simulation findings. An accurate simulation model passes through a correct stochastic modelling of the activity firings: activit作者: ADOPT 時(shí)間: 2025-3-28 10:13 作者: PTCA635 時(shí)間: 2025-3-28 13:23 作者: 注意力集中 時(shí)間: 2025-3-28 16:23 作者: 同謀 時(shí)間: 2025-3-28 21:55 作者: CIS 時(shí)間: 2025-3-28 23:07 作者: 公共汽車 時(shí)間: 2025-3-29 03:05 作者: BRUNT 時(shí)間: 2025-3-29 11:04 作者: Flavouring 時(shí)間: 2025-3-29 12:49 作者: 可卡 時(shí)間: 2025-3-29 16:25
https://doi.org/10.1007/978-981-19-9936-9esses. Existing discovery algorithms are predominantly concerned with constructing process models that represent the control flow of the processes. Agent system mining argues that business processes often emerge from interactions of autonomous agents and uses event data to construct models of the ag作者: 方便 時(shí)間: 2025-3-29 22:32
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/192332.jpg作者: 浸軟 時(shí)間: 2025-3-30 02:11
Efficient Optimal Alignment Between Dynamic Condition Response Graphs and?Traceseen significant industrial adoption. The problem of aligning traces with DCR Graphs, with it’s multitude of applications such as conformance checking and log repair, has surprisingly not been solved yet. In this paper we address this open gap in the research by developing an algorithm for efficientl作者: patriot 時(shí)間: 2025-3-30 05:53
Can I Trust My Simulation Model? Measuring the?Quality of?Business Process Simulation Modelss to estimate what would be the cycle time of a process if one or more resources became unavailable. The starting point of BPS is a process model annotated with simulation parameters (a BPS model). BPS models may be manually designed, based on information collected from stakeholders and empirical ob作者: ABOUT 時(shí)間: 2025-3-30 10:37
Event Abstraction for?Partial Order Patterns and organizations, there does not exist a universal technique to allow for putting the process mining outcome directly into action. Various techniques have been developed to support human analysis. Meanwhile, as raw event data are often provided at the system level, the . is applied to “l(fā)ift” the d作者: 輕率的你 時(shí)間: 2025-3-30 13:20
Incremental Discovery of?Process Models Using Trace Fragmentsd, i.e., event data is provided, and a process model is returned. Thus, process analysts cannot interact and intervene besides parameter settings. In contrast, Incremental Process Discovery (IPD) enables users to actively participate in the discovery phase by gradually selecting process behavior to 作者: 使聲音降低 時(shí)間: 2025-3-30 16:54 作者: 故意 時(shí)間: 2025-3-30 21:00 作者: 顧客 時(shí)間: 2025-3-31 01:51 作者: Ambiguous 時(shí)間: 2025-3-31 08:36
Investigating the?Influence of?Data-Aware Process States on?Activity Probabilities in?Simulation Mod how to improve a business process. Process simulation requires one to provide a simulation model, which should accurately reflect reality to ensure the reliability of the simulation findings. An accurate simulation model passes through a correct stochastic modelling of the activity firings: activit作者: 記憶 時(shí)間: 2025-3-31 11:35
DyLoPro: Profiling the?Dynamics of?Event Logs a static process. This bias is caused by concept drift, which can manifest in many forms and affect various process perspectives. Current research on concept drift in process mining has focused on drift detection techniques in the control-flow perspective, with limited capabilities for comprehensiv作者: nurture 時(shí)間: 2025-3-31 15:33 作者: amputation 時(shí)間: 2025-3-31 17:51
Inferring Missing Entity Identifiers from?Context Using Event Knowledge Graphsm has operated on, resulting in incomplete event data. We aim to infer missing case identifiers of events by considering the physical constraints of the process which previous work has failed to do. We extended Event Knowledge Graphs (EKGs) with concepts for context and rule-based inference. We use 作者: omnibus 時(shí)間: 2025-3-31 22:26 作者: 熱心 時(shí)間: 2025-4-1 03:31
Action-Evolution Petri Nets: A Framework for?Modeling and?Solving Dynamic Task Assignment Problemso achieve optimal task assignment, it is necessary to model the assignment problem first. While there exist separate formalisms, specifically Markov Decision Processes and (Colored) Petri Nets, to model, execute, and solve different aspects of the problem, there is no integrated modeling technique. 作者: incision 時(shí)間: 2025-4-1 08:21
Context-Based Activity Label-Splittinge automated analysis of such data, generating insights that may ultimately lead to process improvement. A core branch of process mining is process discovery, dealing with event-data-based automated discovery of process models. In practice, the same activity may often be executed in a significantly d作者: DRILL 時(shí)間: 2025-4-1 12:55 作者: 食道 時(shí)間: 2025-4-1 16:54 作者: HEW 時(shí)間: 2025-4-1 20:53
Agent Miner: An Algorithm for?Discovering Agent Systems from?Event Dataesses. Existing discovery algorithms are predominantly concerned with constructing process models that represent the control flow of the processes. Agent system mining argues that business processes often emerge from interactions of autonomous agents and uses event data to construct models of the ag
