Context-Aware Process Performance Indicator Prediction
نویسندگان
چکیده
منابع مشابه
Context-Aware Prediction on Business Process Executions
Discovering predictive performance models is an emerging topic in Process Mining. However, making accurate estimates is not easy especially when considering fine-grain metrics (such as processing times) on complex and flexible processes, where performances may change over time depending on context factors. We try to face such a situation by a general predictive-clustering approach, where differ...
متن کاملContext-Aware Trajectory Prediction
Human motion and behaviour in crowded spaces is influenced by several factors, such as the dynamics of other moving agents in the scene, as well as the static elements that might be perceived as points of attraction or obstacles. In this work, we present a new model for human trajectory prediction which is able to take advantage of both humanhuman and human-space interactions. The future trajec...
متن کاملContext-Aware Process Networks
In industry, embedded systems for stream-based processing are often modelled and verified by using process networks, such as Kahn process networks. An advantage of Kahn networks is that they allow asynchronous operation of process components in a network. A problem in these networks, however, is that asynchronously interfering events cannot be handled properly because they are intrinsically ind...
متن کاملTowards A Context-Aware Analysis Of Business Process Performance
Context-aware business process management is moving into the focus of research interest. Since the environment is changing continuously, these changes influence business processes. Thus, the respective context has to be considered while analysing the performance of business processes. This paper presents a new methodological approach to identify the effect of contextual factors on business proc...
متن کاملA Generic Framework for Context-Aware Process Performance Analysis
Process mining combines model-based process analysis with data-driven analysis techniques. The role of process mining is to extract knowledge and gain insights from event logs. Most existing techniques focus on process discovery (the automated extraction of process models) and conformance checking (aligning observed and modeled behavior). Relatively little research has been performed on the ana...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.3044670