Wilson
发表于 2025-3-21 19:58:09
书目名称Business Process Management影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0192318<br><br> <br><br>书目名称Business Process Management影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0192318<br><br> <br><br>书目名称Business Process Management网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0192318<br><br> <br><br>书目名称Business Process Management网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0192318<br><br> <br><br>书目名称Business Process Management被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0192318<br><br> <br><br>书目名称Business Process Management被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0192318<br><br> <br><br>书目名称Business Process Management年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0192318<br><br> <br><br>书目名称Business Process Management年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0192318<br><br> <br><br>书目名称Business Process Management读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0192318<br><br> <br><br>书目名称Business Process Management读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0192318<br><br> <br><br>
Defense
发表于 2025-3-21 23:23:02
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NIL
发表于 2025-3-22 03:39:02
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机构
发表于 2025-3-22 05:33:03
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虚度
发表于 2025-3-22 09:17:32
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WAG
发表于 2025-3-22 12:55:03
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
Esalate
发表于 2025-3-22 20:44:00
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Hdl348
发表于 2025-3-22 23:15:36
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.
推崇
发表于 2025-3-23 03:43:13
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Oafishness
发表于 2025-3-23 08:33:15
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.