Explainable Business Process Remaining Time Prediction Using Reachability Graph

نویسندگان

چکیده

With the recent advances in field of deep learning, an increasing number neural networks have been applied to business process prediction tasks, remaining time prediction, obtain more accurate predictive results. However, existing methods based on learning poor interpretability, explainable method is proposed using reachability graph, which consists model construction and visualization. For models, a Petri net mined graph constructed transition occurrence vector. Then, prefixes corresponding suffixes are generated cluster into different partitions according Next, bidirectional recurrent network with attention each partition encode prefixes, transfer between performed. visualization evaluation values added sub-processes realize models. Finally, validated by publicly available event logs.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Process Remaining Time Prediction Using Query Catalogs

A relevant topic in business process management is the ability to predict the outcome of a process in order to establish a priori recommendations about how to go forward from a certain point in the process. Recommendations are made based on different predictions, like the process remaining time or the process cost. Predicting remaining time is an issue that has been addressed by few authors, wh...

متن کامل

Real-time Prediction and Synchronization of Business Process Instances using Data and Control Perspective

Nowadays, in a competitive and dynamic environment of businesses, organizations need to moni-tor, analyze and improve business processes with the use of Business Process Management Systems(BPMSs). Management, prediction and time control of events in BPMS is one of the major chal-lenges of this area of research that has attracted lots of researchers. In this paper, we present a...

متن کامل

Graph-Based Business Process Model Refactoring

Companies are ever more interested in process-oriented organizational designs due to the competitive advantages they can achieve. Companies must therefore be able to manage their business process models and deal with quality assurance concerns, especially when business process models are mined by reverse engineering (e.g. from information systems) since it has harmful effects on the quality. Fo...

متن کامل

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 کامل

ذخیره 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: Chinese Journal of Electronics

سال: 2023

ISSN: ['1022-4653', '2075-5597']

DOI: https://doi.org/10.23919/cje.2021.00.170