Robotic Process Mining: Vision and Challenges
نویسندگان
چکیده
منابع مشابه
Challenges in Business Process Mining
Information systems are becoming more and more intertwined with the operational processes in most organizations. As a result, a multitude of events are recorded by today’s information systems. The goal of process mining is to use these event data to extract processrelated information, e.g., to automatically discover a process model by observing events recorded by some enterprise system. This in...
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Within organizations there has been a shift from data orientation to process orientation. By process we mean the way an organization arranges there work and recourses, for instance the order in which tasks are performed and which group of people are allowed to perform specific tasks. Sometimes, organizations have very explicit process descriptions of the way the work is organized and this descr...
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During the last decade a new generation of process-aware information systems has emerged, which enables process model configurations at buildtime as well as process instance changes during runtime. Respective adaptations result in a large number of process model variants that were derived from the same process model, but slightly differ in structure. Generally, such model variants are expensive...
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One of the aims of process mining is to retrieve a process model from a given event log. However, current techniques have problems when mining processes that contain non-trivial constructs and/or when dealing with the presence of noise in the logs. To overcome these problems, we try to use genetic algorithms to mine process models. The non-trivial constructs are tackled by choosing an internal ...
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ژورنال
عنوان ژورنال: Business & Information Systems Engineering
سال: 2020
ISSN: 2363-7005,1867-0202
DOI: 10.1007/s12599-020-00641-4