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Robotic Process Automation (RPA) is a technology to develop software bots that automate repetitive sequences of interactions between users and software applications (a.k.a. routines). To take full advantage of this technology, organizations…

软件工程 · 计算机科学 2020-08-28 V. Leno , A. Augusto , M. Dumas , M. La Rosa , F. Maggi , A. Polyvyanyy

Process mining methods allow analysts to use logs of historical executions of business processes in order to gain knowledge about the actual behavior of these processes. One of the most widely studied process mining operations is automated…

软件工程 · 计算机科学 2018-06-11 Fabrizio Maria Maggi , Andrea Marrella , Fredrik Milani , Allar Soo , Silva Kasela

Process mining has emerged as a way to analyze the behavior of an organization by extracting knowledge from event logs and by offering techniques to discover, monitor and enhance real processes. In the discovery of process models,…

人工智能 · 计算机科学 2017-10-17 David Chapela-Campa , Manuel Mucientes , Manuel Lama

Process mining allows analysts to exploit logs of historical executions of business processes to extract insights regarding the actual performance of these processes. One of the most widely studied process mining operations is automated…

Process mining (PM) aims to construct, from event logs, process maps that can help discover, automate, improve, and monitor organizational processes. Robotic process automation (RPA) uses software robots to perform some tasks usually…

软件工程 · 计算机科学 2023-09-26 Najah Mary El-Gharib , Daniel Amyot

Process mining provides various algorithms to analyze process executions based on event data. Process discovery, the most prominent category of process mining techniques, aims to discover process models from event logs, however, it leads to…

Process discovery aims to discover descriptive process models from event logs. These discovered process models depict the actual execution of a process and serve as a foundational element for conformance checking, performance analyses, and…

形式语言与自动机理论 · 计算机科学 2024-09-02 Ali Norouzifar , Marcus Dees , Wil van der Aalst

Process mining offers techniques to exploit event data by providing insights and recommendations to improve business processes. The growing amount of algorithms for process discovery has raised the question of which algorithms perform best…

软件工程 · 计算机科学 2018-06-20 Toon Jouck , Alfredo Bolt , Benoît Depaire , Massimiliano de Leoni , Wil M. P. van der Aalst

A core task in process mining is process discovery which aims to learn an accurate process model from event log data. In this paper, we propose to use (block-) structured programs directly as target process models so as to establish…

人工智能 · 计算机科学 2020-08-14 Dell Zhang , Alexander Kuhnle , Julian Richardson , Murat Sensoy

Process mining acts as a valuable tool to analyse the behaviour of an organisation by offering techniques to discover, monitor and enhance real processes. The key to process mining is to discovery understandable process models. However,…

信息检索 · 计算机科学 2021-04-23 Qifan Chen , Yang Lu , Simon Poon

Process discovery is one of the primary process mining tasks and starting point for process improvements using event data. Existing process discovery techniques aim to find process models that best describe the observed behavior. The focus…

数据库 · 计算机科学 2023-02-23 Ali Norouzifar , Wil van der Aalst

Process Discovery is concerned with the automatic generation of a process model that describes a business process from execution data of that business process. Real life event logs can contain chaotic activities. These activities are…

数据库 · 计算机科学 2018-05-07 Niek Tax , Natalia Sidorova , Wil M. P. van der Aalst

Habit extraction is essential to automate services and provide appliance usage insights in the smart home environment. However, habit extraction comes with plenty of challenges in viewing typical start and end times for particular…

人机交互 · 计算机科学 2022-09-07 Manan Choksi , Dipankar Chaki , Abdallah Lakhdari , Athman Bouguettaya

Process mining techniques focus on extracting insight in processes from event logs. Process mining has the potential to provide valuable insights in (un)healthy habits and to contribute to ambient assisted living solutions when applied on…

机器学习 · 计算机科学 2018-01-11 Niek Tax , Natalia Sidorova , Reinder Haakma , Wil M. P. van der Aalst

Process discovery algorithms automatically extract process models from event logs, but high variability often results in complex and hard-to-understand models. To mitigate this issue, trace clustering techniques group process executions…

机器学习 · 计算机科学 2025-12-11 Jari Peeperkorn , Johannes De Smedt , Jochen De Weerdt

Process mining is a research area focusing on the design of algorithms that can automatically provide insights into business processes. Among the most popular algorithms are those for automated process discovery, which have the ultimate…

形式语言与自动机理论 · 计算机科学 2023-07-12 Adriano Augusto , Jan Mendling , Maxim Vidgof , Bastian Wurm

Logical specifications play a key role in the formal analysis of behavioural models. Automating the derivation of such specifications is particularly valuable in complex systems, where manual construction is time-consuming and error-prone.…

软件工程 · 计算机科学 2025-06-11 Radoslaw Klimek , Julia Witek

Process mining is a field of computer science that deals with discovery and analysis of process models based on automatically generated event logs. Currently, many companies use this technology for optimization and improving their…

人工智能 · 计算机科学 2023-03-27 Antonina K. Begicheva , Irina A. Lomazova , Roman A. Nesterov

Process mining has become one of the best programs that can outline the event logs of production processes in visualized detail. We have addressed the important problem that easily occurs in the industrial process called Bottleneck. The…

综合经济学 · 经济学 2023-11-28 Hamza Saad

Process mining is concerned with the analysis, understanding and improvement of business processes. Process discovery, i.e. discovering a process model based on an event log, is considered the most challenging process mining task.…

数据结构与算法 · 计算机科学 2017-11-09 S. J. van Zelst , B. F. van Dongen , W. M. P. van der Aalst , H. M. W. Verbeek
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