標(biāo)題: Titlebook: Business Process Management Forum; BPM 2024 Forum, Krak Andrea Marrella,Manuel Resinas,Michael Rosemann Conference proceedings 2024 The Edi [打印本頁(yè)] 作者: 氣泡 時(shí)間: 2025-3-21 17:37
書(shū)目名稱Business Process Management Forum影響因子(影響力)
書(shū)目名稱Business Process Management Forum影響因子(影響力)學(xué)科排名
書(shū)目名稱Business Process Management Forum網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Business Process Management Forum網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Business Process Management Forum被引頻次
書(shū)目名稱Business Process Management Forum被引頻次學(xué)科排名
書(shū)目名稱Business Process Management Forum年度引用
書(shū)目名稱Business Process Management Forum年度引用學(xué)科排名
書(shū)目名稱Business Process Management Forum讀者反饋
書(shū)目名稱Business Process Management Forum讀者反饋學(xué)科排名
作者: Ceremony 時(shí)間: 2025-3-21 21:53 作者: 癡呆 時(shí)間: 2025-3-22 01:16
Object-Centric Event Logs: Characteristics, Comparative Analysis and?Road Mapby considering multiple objects interacting with each other in a process. This object-centric approach offers advantages over traditional methods by avoiding dimension reduction issues. However, in contrast to traditional process mining where a standard event log format was quickly agreed upon with 作者: Anticoagulant 時(shí)間: 2025-3-22 06:35
Explainable DMN complexity of DMN models can otherwise quickly make it unfeasible for companies to understand and maintain their decision logic. To this aim, we present a formal approach for measuring the . of decision inputs on the decision output. In particular, we show how the decision logic of a DMN model can 作者: 邪惡的你 時(shí)間: 2025-3-22 12:21 作者: 粗糙 時(shí)間: 2025-3-22 14:46 作者: 水槽 時(shí)間: 2025-3-22 20:50 作者: 懶惰民族 時(shí)間: 2025-3-23 00:30
NL2ProcessOps: Towards LLM-Guided Code Generation for?Process Executionnt. This paper presents NL2ProcessOps, a novel approach leveraging Large Language Models (LLMs) and concepts such as Retrieval Augmented Generation (RAG), agents, and tools for code generation to streamline process deployment operations. The proposed approach is designed to work with textual process作者: Tinea-Capitis 時(shí)間: 2025-3-23 01:29
CMMN-Based Modeling and?Customization of?Declarative Business Process Familiesn be expressed using concrete modeling languages and then customized at design time into a specific process variant to enact according to particular configuration requirements. Most process family modeling proposals focus on imperative processes, such as extensions of the Business Process Model and 作者: Orchiectomy 時(shí)間: 2025-3-23 08:20
Interactive Drift Visualization in?Sensor Data Streams for?Explainable Process Outcome Predictiondrifts, e.g., the quality of a product can be affected by the temperature during the production process. In particular, drifts can explain variations in the process outcome, and hence, their early detection can support the definition of mitigation actions, e.g., canceling the production of probably 作者: Stress-Fracture 時(shí)間: 2025-3-23 10:26 作者: 光明正大 時(shí)間: 2025-3-23 14:46 作者: FLIP 時(shí)間: 2025-3-23 20:03 作者: 草率男 時(shí)間: 2025-3-23 22:57 作者: osculate 時(shí)間: 2025-3-24 04:06
A Framework to?Support the?Validation of?Process Mining Inquiriesvelop expectations about what the results might be. Based on these expectations, they then make inquiries and translate them into queries against the log. However, during the analysis, analysts need to evaluate and compare the results of their queries to be able to validate them against their expect作者: ALB 時(shí)間: 2025-3-24 08:53
Microservices-Aware Business Process Modellingre and processes around business outcomes to reap MSA’s benefits. Also, MSA requires the domain model for each microservice to be minimal and avoid coupling with other microservices’ domain entities. However, such coupling might already occur during the design of the business process and then propag作者: 大量殺死 時(shí)間: 2025-3-24 13:57 作者: Wallow 時(shí)間: 2025-3-24 16:00
T. H. Crook,B. A. Johnson,G. J. Larrabee object-oriented databases storing process data..This paper introduces a characteristics framework from three perspectives originating from studying seminal works in process mining (what should be analyzed), object-centric process modeling (how it should be modeled), and database storage (how it sho作者: maudtin 時(shí)間: 2025-3-24 22:25
Evaluating Antidepressants and Anxiolyticserent real-life processes. Further, we investigate how predictable next activities in event sequences are. Our study indicates that ordering the events as executed does not necessarily increase the entropy rates of the process. We discuss these findings and their implications for future research.作者: ANTH 時(shí)間: 2025-3-25 01:24
Otto Benkert,Wolfgang Maier,Karl Rickelstion of temporal tiers, that takes process precedence into account, without the need for heuristic conflict resolution between process discovery and causal discovery. We demonstrate the effectiveness of our approach through experiments using synthetically generated data, and show a proof-of-concept 作者: 網(wǎng)絡(luò)添麻煩 時(shí)間: 2025-3-25 05:47 作者: 摘要記錄 時(shí)間: 2025-3-25 09:13
T. H. Crook,B. A. Johnson,G. J. Larrabeeiptions. It demonstrates the effectiveness of NL2ProcessOps in generating high-quality code to support process deployment operations through both human and automated assessments. The paper concludes with a discussion of potential applications and future work.作者: VAN 時(shí)間: 2025-3-25 15:34
Evaluating Antidepressants and Anxiolytics groups of traces. Being able to visualize drifts and identify critical points enables (early) outcome prediction, ranging from the analysis of drifts at single points or at specific timestamps in a trace to the investigation of average time series of traces representing different outcomes, e.g., OK作者: harangue 時(shí)間: 2025-3-25 17:20
The Historicism of John R. Commons’s ,ich we call assignment graph; (II) A mapping from marked Colored Petri Nets to assignment graphs; (III) An adaptation of the Proximal Policy Optimization algorithm that can learn to solve assignment problems represented through assignment graphs. To evaluate the proposed representation method, we mo作者: Spartan 時(shí)間: 2025-3-25 22:58 作者: Cerebrovascular 時(shí)間: 2025-3-26 02:20 作者: FLOUR 時(shí)間: 2025-3-26 07:32 作者: 慢慢啃 時(shí)間: 2025-3-26 12:16
Object-Centric Event Logs: Characteristics, Comparative Analysis and?Road Map object-oriented databases storing process data..This paper introduces a characteristics framework from three perspectives originating from studying seminal works in process mining (what should be analyzed), object-centric process modeling (how it should be modeled), and database storage (how it sho作者: 貿(mào)易 時(shí)間: 2025-3-26 15:09 作者: Stricture 時(shí)間: 2025-3-26 17:24 作者: 兇殘 時(shí)間: 2025-3-26 21:52
TOTeM: Temporal Object Type Model for?Object-Centric Process Mininga temporal relation, an overall log cardinality, and an event cardinality. The contributions of this paper include a definition of the temporal object type model, an algorithm to compute them, a publicly available implementation, and an evaluation.作者: Between 時(shí)間: 2025-3-27 04:30
NL2ProcessOps: Towards LLM-Guided Code Generation for?Process Executioniptions. It demonstrates the effectiveness of NL2ProcessOps in generating high-quality code to support process deployment operations through both human and automated assessments. The paper concludes with a discussion of potential applications and future work.作者: Androgen 時(shí)間: 2025-3-27 09:17
Interactive Drift Visualization in?Sensor Data Streams for?Explainable Process Outcome Prediction groups of traces. Being able to visualize drifts and identify critical points enables (early) outcome prediction, ranging from the analysis of drifts at single points or at specific timestamps in a trace to the investigation of average time series of traces representing different outcomes, e.g., OK作者: Oafishness 時(shí)間: 2025-3-27 12:14
A Universal Approach to?Feature Representation in?Dynamic Task Assignment Problemsich we call assignment graph; (II) A mapping from marked Colored Petri Nets to assignment graphs; (III) An adaptation of the Proximal Policy Optimization algorithm that can learn to solve assignment problems represented through assignment graphs. To evaluate the proposed representation method, we mo作者: Commemorate 時(shí)間: 2025-3-27 14:19 作者: 梯田 時(shí)間: 2025-3-27 19:40 作者: 表示問(wèn) 時(shí)間: 2025-3-27 23:27 作者: Lasting 時(shí)間: 2025-3-28 03:28 作者: 盟軍 時(shí)間: 2025-3-28 07:30 作者: 骨 時(shí)間: 2025-3-28 10:42 作者: Horizon 時(shí)間: 2025-3-28 18:37 作者: 檢查 時(shí)間: 2025-3-28 21:02 作者: 空氣 時(shí)間: 2025-3-29 00:29 作者: 迎合 時(shí)間: 2025-3-29 05:01
T. H. Crook,B. A. Johnson,G. J. Larrabee complexity of DMN models can otherwise quickly make it unfeasible for companies to understand and maintain their decision logic. To this aim, we present a formal approach for measuring the . of decision inputs on the decision output. In particular, we show how the decision logic of a DMN model can 作者: Ingratiate 時(shí)間: 2025-3-29 08:32
Evaluating Antidepressants and Anxiolytics event logs as traces, where each trace contains the sequence of events pertaining to a specific process case. A case can, e.g., represent the management of a customer request or the sequence of events from ordering to delivering a product to a customer in online retail businesses. While this approa作者: ANTH 時(shí)間: 2025-3-29 15:22 作者: Presbyopia 時(shí)間: 2025-3-29 17:25
Statistical Issues: Sample Size and Dropoute essential to understand the system’s behavior. This includes temporal relations as well as cardinalities of relationships. Whether a product is produced before or after a customer order, which is essential with respect to lean management, would be an example of a temporal relationship. Conversely,作者: hypnogram 時(shí)間: 2025-3-29 23:47
T. H. Crook,B. A. Johnson,G. J. Larrabeent. This paper presents NL2ProcessOps, a novel approach leveraging Large Language Models (LLMs) and concepts such as Retrieval Augmented Generation (RAG), agents, and tools for code generation to streamline process deployment operations. The proposed approach is designed to work with textual process作者: 潛伏期 時(shí)間: 2025-3-30 00:38
Statistical Issues: Sample Size and Dropoutn be expressed using concrete modeling languages and then customized at design time into a specific process variant to enact according to particular configuration requirements. Most process family modeling proposals focus on imperative processes, such as extensions of the Business Process Model and 作者: 最高點(diǎn) 時(shí)間: 2025-3-30 06:16 作者: thrombosis 時(shí)間: 2025-3-30 09:04
Otto Benkert,Wolfgang Maier,Karl Rickelshis oversimplification may lead to inaccurate analyses, caused by missing interactions between object types. In contrast, object-centric process mining permits events to be tied to multiple objects, capturing complex interactions and providing a more accurate representation of business processes. Th作者: FLING 時(shí)間: 2025-3-30 14:34
The Historicism of John R. Commons’s ,een proposed as the state of the art for solving assignment problems. DRL methods usually employ a neural network (NN) as an approximator for the policy function, which ingests the state of the process and outputs a valuation of the possible assignments. However, representing the state and the possi作者: 睨視 時(shí)間: 2025-3-30 17:59 作者: 混合物 時(shí)間: 2025-3-30 22:59
Frank Knight and the Historical Schoolroduction management’s demand for data-based process transparency is growing continuously as well as the number of companies turning to process mining to address these challenges. Information systems in production usually do not provide readily available event log data for the analysis. This paper i作者: 冬眠 時(shí)間: 2025-3-31 01:06
Carl Menger and the Historicism in Economicsvelop expectations about what the results might be. Based on these expectations, they then make inquiries and translate them into queries against the log. However, during the analysis, analysts need to evaluate and compare the results of their queries to be able to validate them against their expect作者: 貝雷帽 時(shí)間: 2025-3-31 06:56
Frank Knight and the Historical Schoolre and processes around business outcomes to reap MSA’s benefits. Also, MSA requires the domain model for each microservice to be minimal and avoid coupling with other microservices’ domain entities. However, such coupling might already occur during the design of the business process and then propag
