Business Process Mining for Industry. Successes and Caveats
Business Process Mining for Industry. Successes and Caveats
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工业业务流程挖掘。
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
A. Tiwari
中科院分区：
文献类型：
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作者：
J. Mehnen;C. Turner;A. Tiwari
业务流程挖掘（BPM）是一种功能强大的技术，旨在通过自动分析业务流程轨迹，将复杂的工业流程结构映射为人类可解释的图结构。将创新理念转化为工业上可行的产品本身就是一项具有挑战性的任务。首先，本文介绍了业务流程挖掘的概念和创新的遗传编程（GP）方法。其次，本文讨论了将新的学术解决方案转化为现实世界应用的主要注意事项和解决方案。一个真实的BPM传输项目为这一讨论提供了背景。
Business Process Mining (BPM) is a powerful technique which aims at mapping the complex structure of industrial processes into human interpretable graph structures by analysing business process traces automatically. The transfer of an innovative idea into an industrially viable product is a challenging task in its own rights. First, this paper introduces the concept of business process mining and an innovative Genetic Programming (GP) approach. Second, this paper addresses the principal caveats and solutions that come with transferring new academic solutions into real-world applications. A real BPM transfer project serves a background for this discussion.
从业务数据中挖掘流程图：一种进化方法
DOI：
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发表时间：
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期刊：
6th International Conference on Digital Enterprise Technology (DET-2009)
影响因子：
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作者：
C Turner (First Author)
通讯作者：
C Turner (First Author)