標(biāo)題: Titlebook: Business Process Management; 13th International C Hamid Reza Motahari-Nezhad,Jan Recker,Matthias Wei Conference proceedings 2015 Springer I [打印本頁] 作者: Wilson 時(shí)間: 2025-3-21 19:58
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: Defense 時(shí)間: 2025-3-21 23:23 作者: NIL 時(shí)間: 2025-3-22 03:39 作者: 機(jī)構(gòu) 時(shí)間: 2025-3-22 05:33 作者: 虛度 時(shí)間: 2025-3-22 09:17 作者: WAG 時(shí)間: 2025-3-22 12:55
0302-9743 usiness process models and analytics, BPM in industry, process compliance and deviations, energing and practical areas of BPM, and process monitoring.978-3-319-23062-7978-3-319-23063-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Esalate 時(shí)間: 2025-3-22 20:44 作者: Hdl348 時(shí)間: 2025-3-22 23:15
An Extended Role for the Rural Physician,rds ILP-based process discovery. The technique helps to produce process models that are less over-fitting w.r.t. the event log, more understandable, and more adequate in capturing the dominant behavior present in the event log. The technique is implemented in the ProM framework.作者: 推崇 時(shí)間: 2025-3-23 03:43 作者: Oafishness 時(shí)間: 2025-3-23 08:33
Avoiding Over-Fitting in ILP-Based Process Discoveryrds ILP-based process discovery. The technique helps to produce process models that are less over-fitting w.r.t. the event log, more understandable, and more adequate in capturing the dominant behavior present in the event log. The technique is implemented in the ProM framework.作者: 捏造 時(shí)間: 2025-3-23 13:33 作者: 正常 時(shí)間: 2025-3-23 15:12
Conference proceedings 2015125 submissions. The papers are organized in topical sections on runtime process management, process modeling, process modeling discovery, business process models and analytics, BPM in industry, process compliance and deviations, energing and practical areas of BPM, and process monitoring.作者: corporate 時(shí)間: 2025-3-23 18:01
https://doi.org/10.1007/978-3-031-30371-5ee-choice constructs is still one significant challenge. In this paper, we propose an algorithm named .. By introducing new ordering relations between tasks, . is able to solve this problem. . has been implemented as a plug-in of ProM. The experimental results show that it indeed significantly improves existing process mining techniques.作者: 外面 時(shí)間: 2025-3-23 23:20 作者: Highbrow 時(shí)間: 2025-3-24 03:22
Rohela Mahmud,Yvonne Ai Lian Lim,Amirah Amirand comprehensive exploration of the solution space. An experiment was conducted to compare the performance of the RePro technique with traditional brainstorming. Results confirm the potential for using a more advanced technique during process redesign workshops, but also show that the way such a technique is used strongly affects its performance.作者: 盟軍 時(shí)間: 2025-3-24 08:27 作者: 下級(jí) 時(shí)間: 2025-3-24 12:32
Cornelia F. Mutel,Kelley J. Donhamon times that employs the optimization of the likelihood of the probabilistic model with expectation and maximization (EM) algorithms. Our experimental results indicated that our method could estimate the average latent waiting and service times with sufficient accuracy to enable practical applications through performance analysis.作者: 偽證 時(shí)間: 2025-3-24 16:39 作者: 偽造者 時(shí)間: 2025-3-24 23:04 作者: 討厭 時(shí)間: 2025-3-25 01:08 作者: eucalyptus 時(shí)間: 2025-3-25 04:55 作者: 現(xiàn)代 時(shí)間: 2025-3-25 08:33
Context-Sensitive Textual Recommendations for Incomplete Process Model Elementsto the user. We prototypically implemented our approach and conducted an extensive user experiment with real-world process models in order to assess the usefulness of the recommendations. The results show that our approach fulfills its purpose and creates meaningful recommendations.作者: FRET 時(shí)間: 2025-3-25 12:18
Rohela Mahmud,Yvonne Ai Lian Lim,Amirah Amir scenarios are often generated in a less rigorous way. Only one or a few workshops are organized for this purpose, which rely on the use of techniques that are susceptible to bias and incompleteness, e.g. brainstorming. In this paper, we evaluate a new technique for generating process improvement id作者: 前兆 時(shí)間: 2025-3-25 17:52 作者: Detonate 時(shí)間: 2025-3-25 21:22
Medical Paratexts from Medieval to Modernrmance analysis do not take both queueing semantics and the process perspective into account. In this work, we address this gap by developing a novel method for utilizing rich process logs to analyze performance of scheduled processes. The proposed method combines simulation, queueing analytics, and作者: 合乎習(xí)俗 時(shí)間: 2025-3-26 04:14 作者: 輕打 時(shí)間: 2025-3-26 04:31
https://doi.org/10.1007/978-3-319-73426-2n the last decade as possible means of addressing the challenge of supporting at the same time flexibility in execution, adaptability and compliance. However, the definition of . semantics, which is a necessary foundation for asynchronously executing distributed processes, is not obvious for formali作者: 內(nèi)疚 時(shí)間: 2025-3-26 09:25 作者: genesis 時(shí)間: 2025-3-26 14:56
https://doi.org/10.1007/978-3-031-30371-5 in the life-cycle of a process-aware information system. However, in a decade of process discovery research, the relevant algorithms are known to have strong limitations in several dimensions. . and . are two important special structures in a process model. Mining invisible tasks involved in non-fr作者: 清楚說話 時(shí)間: 2025-3-26 17:11
Medical Practice Variations in Stroke, angles. Most of the contributions consider the extraction of a model as a . problem where only positive information is available. In this paper we present a fresh look at process discovery where also negative information can be taken into account. This feature may be crucial for deriving process mo作者: 疾馳 時(shí)間: 2025-3-27 00:14
John-Michael Gamble,Sonia Butalianstraints from event logs. Existing discovery techniques verify the satisfaction of candidate constraints over the log, but completely neglect their interactions. As a result, the inferred constraints can be mutually contradicting and their interplay may lead to an inconsistent process model that do作者: 決定性 時(shí)間: 2025-3-27 02:59 作者: LINE 時(shí)間: 2025-3-27 08:45
Cornelia F. Mutel,Kelley J. Donhamimes of activities and resources in business processes. However, such averages of waiting and service times are not readily available in most event logs that only record either the start or the completion times of events in activities. The transition times between events in such logs are the only pe作者: Armory 時(shí)間: 2025-3-27 13:16
https://doi.org/10.1007/978-3-030-06103-6to evaluate alternatives. However, even a small number of design choices may lead to an explosion of models that need to be explored to find the optimal models for said process. If the exploration depends on simulation, it often becomes infeasible to simulate every model. Therefore, for throughput t作者: arrogant 時(shí)間: 2025-3-27 17:38
https://doi.org/10.1007/978-3-030-06103-6e model collections we have worked with, we found that every third model contains elements with incomplete element names. While prior research has proposed techniques to close gaps on the structural level, approaches that address the naming of incompletely specified model elements are missing. In th作者: atrophy 時(shí)間: 2025-3-27 21:25 作者: SMART 時(shí)間: 2025-3-28 01:27
Business Process Management978-3-319-23063-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 磨坊 時(shí)間: 2025-3-28 02:45 作者: Constrain 時(shí)間: 2025-3-28 09:20
https://doi.org/10.1007/978-3-319-23063-4Business information systems; Business intelligence; Business process management systems; Business proc作者: Aerate 時(shí)間: 2025-3-28 10:50
978-3-319-23062-7Springer International Publishing Switzerland 2015作者: 做事過頭 時(shí)間: 2025-3-28 15:28 作者: 案發(fā)地點(diǎn) 時(shí)間: 2025-3-28 21:42
Inspection Coming Due! How to Determine the Service Interval of Your Processes!they do not have enough resources to deeply inspect all processes simultaneously. Nor would this be reasonable from a process performance point of view. Process portfolio managers therefore require guidance on how to determine the service interval of their processes, i.e., when they should analyze w作者: 手榴彈 時(shí)間: 2025-3-29 00:59
Data-Driven Performance Analysis of Scheduled Processesrmance analysis do not take both queueing semantics and the process perspective into account. In this work, we address this gap by developing a novel method for utilizing rich process logs to analyze performance of scheduled processes. The proposed method combines simulation, queueing analytics, and作者: forestry 時(shí)間: 2025-3-29 06:26 作者: occult 時(shí)間: 2025-3-29 08:42 作者: Decimate 時(shí)間: 2025-3-29 11:46
Detecting Inconsistencies Between Process Models and Textual Descriptionst is not unusual to find within an organization descriptions of the same business processes in both modes. When considering that hundreds of such descriptions may be in use in a particular organization by dozens of people, using a variety of editors, there is a clear risk that such models become mis作者: Control-Group 時(shí)間: 2025-3-29 17:11
Mining Invisible Tasks in Non-free-choice Constructs in the life-cycle of a process-aware information system. However, in a decade of process discovery research, the relevant algorithms are known to have strong limitations in several dimensions. . and . are two important special structures in a process model. Mining invisible tasks involved in non-fr作者: 追蹤 時(shí)間: 2025-3-29 21:47
Incorporating Negative Information in Process Discovery angles. Most of the contributions consider the extraction of a model as a . problem where only positive information is available. In this paper we present a fresh look at process discovery where also negative information can be taken into account. This feature may be crucial for deriving process mo作者: 搖擺 時(shí)間: 2025-3-30 02:38 作者: CREEK 時(shí)間: 2025-3-30 05:54
Avoiding Over-Fitting in ILP-Based Process Discoveryg process discovery techniques is the ILP-based process discovery algorithm. The algorithm is able to unravel complex process structures and provides formal guarantees w.r.t. the model discovered, e.g., the algorithm guarantees that a discovered model describes all behavior present in the event log.作者: 蛤肉 時(shí)間: 2025-3-30 09:53 作者: phlegm 時(shí)間: 2025-3-30 12:37 作者: 銼屑 時(shí)間: 2025-3-30 19:32 作者: 節(jié)約 時(shí)間: 2025-3-30 21:47 作者: 政府 時(shí)間: 2025-3-31 04:56
Hamid Reza Motahari-Nezhad,Jan Recker,Matthias Wei作者: Fluctuate 時(shí)間: 2025-3-31 06:13 作者: Ligament 時(shí)間: 2025-3-31 13:15
Medical Paratexts from Medieval to Modernquence of . operations that alter the structure and dynamics of the Petri Net model. We evaluate the approach with a real-world dataset from Dana-Farber Cancer Institute, a large outpatient cancer hospital in the United States.作者: Ointment 時(shí)間: 2025-3-31 15:55 作者: 殺人 時(shí)間: 2025-3-31 20:47
