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Bidimensional Process Discovery for Mining BPMN Models

机译：采矿BPMN型号的BIDimensional Process Discovery

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This paper presents "BPMN Miner", a process discovery technique that uses BPMN as the representational language for the discovery result. The proposed approach is novel in the sense that it is able to represent control-flow with BPMN constructs, but also because it augments the control-flow perspective with an organizational dimension by discovering swimlanes that represent organizational roles in the business process. Additional advantages of the proposed mining approach can be summarized as follows: it provides intuitive and easy-to-use abstraction/specification functionality which makes it applicable to event logs with various complexity levels, it provides instant feedback about the conformance between the input log and the resulting model based on a dedicated fitness metric, it is robust to noise, and it can easily integrate with modeling and other BPM tools with exporting functionality through the XPDL-format. In this way, BPMN Miner will take process mining one step closer to the status of indispensable for business process reengineering as discovered models are immediately available in the preferred language of a majority of practitioners, educators and researchers.
机译：本文提出了“BPMN矿工”，使用BPMN作为代表性语言的发现结果的过程中发现技术。所提出的方法是在这个意义上小说，它是能够代表控制流与BPMN结构，而且还因为它通过发现代表了业务流程的组织角色泳道增强与组织方面的控制流的角度看。所提出的挖掘方法的其它优点可总结如下：它提供了直观，易于使用的抽象/规格功能，这使得它适用于各种复杂级别的事件日志，它提供了有关输入日志之间的一致性即时反馈基于专用合适度量的结果模型，它具有较强的抗噪音，而且可以方便地与建模和其他BPM工具集成了通过XPDL格式导出功能。通过这种方式，BPMN矿工将过程挖掘一步步接近的不可或缺地位的业务流程再造的发现模式是在大多数的从业者，教育工作者和研究人员的首选语言立即可用。

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