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Related papers: Event Log Generation: An Industry Perspective

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Process mining has grown popular today given their ability to provide managers with insights into the actual business process as executed by employees. Process mining depends on event logs found in process aware information systems to model…

Databases · Computer Science 2025-03-28 Ali Suleiman , Gamal Kassem

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…

Software Engineering · Computer Science 2018-06-11 Fabrizio Maria Maggi , Andrea Marrella , Fredrik Milani , Allar Soo , Silva Kasela

Process mining has gained traction over the past decade and an impressive body of research has resulted in the introduction of a variety of process mining approaches measuring process performance. Having this set of techniques available,…

Performance · Computer Science 2018-04-12 Fredrik Milani , Fabrizio M. Maggi

Process mining is a new emerging research trend over the last decade which focuses on analyzing the processes using event log and data. The raising integration of information systems for the operation of business processes provides the…

Software Engineering · Computer Science 2019-09-16 B. Kamala

Recently, information systems like ERP, CRM and WFM record different business events or activities in a log named as event log. Process mining aims at extracting information from event logs to capture business process as it is being…

Software Engineering · Computer Science 2015-07-22 Saiqa Aleem , Luiz Fernando Capretz , Faheem Ahmed

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 involves discovering, monitoring, and improving real processes by extracting knowledge from event logs in information systems. Process mining has become an important topic in recent years, as evidenced by a growing number of…

Software Engineering · Computer Science 2021-04-01 Sabah Al-Fedaghi

Event data is the basis for all process mining analysis. Most process mining techniques assume their input to be an event log. However, event data is rarely recorded in an event log format, but has to be extracted from raw data. Event log…

Data Structures and Algorithms · Computer Science 2022-11-09 Dirk Fahland

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…

Formal Languages and Automata Theory · Computer Science 2023-07-12 Adriano Augusto , Jan Mendling , Maxim Vidgof , Bastian Wurm

Recent years have seen the emergence of object-centric process mining techniques. Born as a response to the limitations of traditional process mining in analyzing event data from prevalent information systems like CRM and ERP, these…

Databases · Computer Science 2023-11-16 Alessandro Berti , Marco Montali , Wil M. P. van der Aalst

One of the most valuable assets of an organization is its organizational data. The analysis and mining of this potential hidden treasure can lead to much added-value for the organization. Process mining is an emerging area that can be…

Software Engineering · Computer Science 2016-07-05 Asef Pourmasoumi , Ebrahim Bagheri

Process mining is a subfield of process science that analyzes event data collected in databases called event logs. Recently, novel types of event data have become of interest due to the wide industrial application of process mining…

Artificial Intelligence · Computer Science 2022-05-12 Marco Pegoraro

Process mining is a scientific discipline that analyzes event data, often collected in databases called event logs. Recently, uncertain event logs have become of interest, which contain non-deterministic and stochastic event attributes that…

Artificial Intelligence · Computer Science 2022-04-05 Marco Pegoraro , Bianka Bakullari , Merih Seran Uysal , Wil M. P. van der Aalst

Modern information systems are able to collect event data in the form of event logs. Process mining techniques allow to discover a model from event data, to check the conformance of an event log against a reference model, and to perform…

Databases · Computer Science 2022-04-11 Marco Pegoraro , Merih Seran Uysal , Wil M. P. van der Aalst

Providing appropriate structures around human resources can streamline operations and thus facilitate the competitiveness of an organization. To achieve this goal, modern organizations need to acquire an accurate and timely understanding of…

Databases · Computer Science 2022-08-05 Jing Yang , Chun Ouyang , Wil M. P. van der Aalst , Arthur H. M. ter Hofstede , Yang Yu

With the servitization of business, understanding how users experience services becomes a crucial success factor for companies. Therefore, there is a need to include feedback from user experiences in the software engineering process.…

Software Engineering · Computer Science 2026-04-07 Paul Kobialka , Andrea Pferscher , Bernhard K. Aichernig , Einar Broch Johnsen , Silvia Lizeth Tapia Tarifa

Process mining, a data-driven approach for analyzing, visualizing, and improving business processes using event logs, has emerged as a powerful technique in the field of business process management. Process forecasting is a sub-field of…

Machine Learning · Computer Science 2023-12-18 Wenjun Zhou , Artem Polyvyanyy , James Bailey

Event log analysis is an important task that security professionals undertake. Event logs record key information on activities that occur on computing devices, and due to the substantial number of events generated, they consume a large…

Artificial Intelligence · Computer Science 2025-02-04 Siraaj Akhtar , Saad Khan , Simon Parkinson

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…

Software Engineering · Computer Science 2018-06-20 Toon Jouck , Alfredo Bolt , Benoît Depaire , Massimiliano de Leoni , Wil M. P. van der Aalst

Process mining methods often analyze processes in terms of the individual end-to-end process runs. Process behavior, however, may materialize as a general state of many involved process components, which can not be captured by looking at…

Databases · Computer Science 2022-11-02 Bianka Bakullari , Wil M. P. van der Aalst
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