26 papers · ranked by Valyu relevance
Lerina Aversano, Martina Iammarino, Antonella Madau, Giuseppe Pirlo + 2 more
Process mining applications in healthcare is a field widely investigated in the last years. Its diffusion is driven by increasing digitalization and the availability of large quantities of clinical data, enabling hospitals, clinics, and other healthcare organizations to optimize workflows, reduce operational costs, and…
Pavlina Kröckel, Freimut Bodendorf
The paper explores process mining and its usefulness for analyzing football event data. We work with professional event data provided by OPTA Sports from the European Championship in 2016. We analyze one game of a favorite team (England) against an underdog team (Iceland). The success of the underdog teams in the Euro…
Lisa Zimmermann, Francesca Zerbato, Barbara Weber
Over the past few years, several software companies have emerged that offer process mining tools to assist enterprises in gaining insights into their process executions. However, the effective application of process mining technologies depends on analysts who need to be proficient in managing process mining projects…
Ali Jlidi, László Kovács
Process-mining techniques have emerged as powerful tools for analyzing event data to gain insights into business processes. In this paper, we present a comprehensive analysis of road traffic fine management processes using the pm4py library in Python. We start by importing an event log dataset and explore its…
Tilen Tratnjek, Gregor Polančič, Joaquin Ordieres Meré
As IoT environments continue to grow in scale and complexity, the increasing number of interconnected sensors and devices makes end-to-end system behaviour progressively harder to understand. Process mining offers strong potential to address this challenge by transforming sensor-driven event data into interpretable…
Patrick Mukala
| Article Info | ABSTRACT | | --- | --- | | | Audit trails are evidential indications of activities performers in any logs. | | | Modern reactive systems such as transaction processing systems, | | | management information systems, decision support systems and even | | | executive management systems log activities of…
Wil M. P. van der Aalst, A.J. Bolt Iriondo, Sebastiaan J. van Zelst
The number of events recorded for operational processes is growing every year. This applies to all domains: from health care and e-government to production and maintenance. Event data are a valuable source of information for organizations that need to meet requirements related to compliance, efficiency, and customer…
Abdel-Hamed Mohamed Rashed, Noha E. El-Attar, Diaa Salama Abdelminaam, Mohamed Abdelfatah + 1 more
Recently, The Egyptian health sector whether it is public or private; utilizes emerging technologies such as data mining, business intelligence, Internet of Things (IoT), among many others to enhance the service and to deal with increasing costs and growing pressures. However, process mining has not yet been used in…
Wil M. P. van der Aalst, Tobias Brockhoff, Anahita Farhang Ghahfarokhi, Mahsa Pourbafrani + 2 more
'Anahita Farhang Ghahfarokhi' 'Mahsa Pourbafrani' 'Merih Seran Uysal' 'Sebastiaan J. van Zelst'] > Abstract. Operational processes in production, logistics, material handling, maintenance, etc., are supported by cyber-physical systems combining hardware and software components. As a result, the digital and the physical…
Hamza Saad
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 analysis process was focused on extracting the bottlenecks in the production line…
Robert Andrews, Moe T. Wynn, Kirsten Vallmuur, Arthur H. M. ter Hofstede + 3 more
While noting the importance of data quality, existing process mining methodologies (i) do not provide details on how to assess the quality of event data (ii) do not consider how the identification of data quality issues can be exploited in the planning, data extraction and log building phases of any process mining…
Yiyuan Yang, Zheshun Wu, Yong H. Chu, Zhenghua Chen + 2 more
Perspectives Authors: ['Yiyuan Yang' 'Zheshun Wu' 'Yong H. Chu' 'Zhenghua Chen' 'Zenglin Xu' 'Qingsong Wen'] Abstract—Process mining, as a high-level field in data mining, plays a crucial role in enhancing operational efficiency and decision-making across organizations. In this survey paper, we delve into the growing…
Mohammad Bakhtiari, Cleva Villanueva
Radiation oncology is known for its complexity, inherent risks, and sheer volume of data. Adopting a process-oriented management approach and systemic thinking is essential for ensuring safety, efficiency, and the highest quality of care. Process mining offers a data-centric method for analyzing and improving clinical…
Kentaroh Toyoda, Rachel Gan Kai Ying, Allan N. Zhang, Tan Puay Siew
—Process mining discovers and analyzes a process model from historical event logs. The prior art methods use the key attributes of case-id, activity, and timestamp hidden in an event log as clues to discover a process model. However, a user needs to specify them manually, and this can be an exhaustive task. In this…
Asef Pourmasoumi, Ebrahim Bagheri
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 useful in helping organizations understand the status quo, check for compliance and…
Ahmed BaniMustafa, Nigel Hardy
This work demonstrates the execution of a novel process model for knowledge discovery and data mining for metabolomics (MeKDDaM). It aims to illustrate MeKDDaM process model applicability using four different real-world applications and to highlight its strengths and unique features. The demonstrated applications…
Authors not listed
Acutely toxic substances such as cyanide salts and mercury metal are commonly used in gold mining. Mercury amalgamation in artisanal gold mining is especially problematic and the largest source of mercury pollution on Earth. New strategies are needed that do not rely on cyanide and mercury for gold recovery. To address…
Ahmed Halioui, Petko Valtchev, Abdoulaye Baniré Diallo
This paper introduces a method for automatic workflow extraction from texts using Process-Oriented Case-Based Reasoning (POCBR). While the current workflow management systems implement mostly different complicated graphical tasks based on advanced distributed solutions (e.g. cloud computing and grid computation)…
Authors not listed
Artificial intelligence (AI) is reshaping scientific research by accelerating discovery and enabling the analysis of complex data that traditional methods struggle to handle. This review examines over 310,000 journal articles and patents from the CAS Content Collection (2015–2025), with a focus on, biomedical research…
M. Zanin, D. Papo, P. A. Sousa, E. Menasalvas + 3 more
The increasing power of computer technology does not dispense with the need to extract meaningful in-formation out of data sets of ever growing size, and indeed typically exacerbates the complexity of this task. To tackle this general problem, two methods have emerged, at chronologically different times, that are now…
Nikitha Karkera, Nikshita Karkera, Mahanash Kumar, Samik Ghosh + 1 more
The pathway curation task involves analyzing scientific literature to identify and represent cellular processes as pathways. This process, often time-consuming and labor-intensive, requires significant curation efforts amidst the rapidly growing biomedical literature. Natural Language Processing (NLP) offers a…
Adarsh Arun, Zhen Guo, Simon Sung, Alexei Lapkin
Automated prediction of reaction impurities can be useful in facilitating rapid early-stage reaction development, synthesis planning and optimization. Existing reaction predictors are catered towards main product prediction, and are often black-box, making it difficult to troubleshoot erroneous outcomes. This work…
Authors not listed
Iron, the most abundant element on Earth by mass (34.6%), primarily exists as iron minerals due to its inherent reactivity. The study of iron mineral phase transformations under changing environmental conditions remains an important research focus due to its geological, environmental, and industrial significance. Yet…
Hossein Estiri, Thomas H. McCoy, Kavishwar B. Wagholikar, Alyssa P. Goodson + 2 more
Electronic health records (EHRs) contain important temporal information about progression of disease and treatment outcomes. The objective of this paper is to propose and test a high-throughput approach for phenotyping using temporal sequences of EHR observations to derive predictive and interpretable data…
Michael A. Boemo, Luca Cardelli, Conrad A. Nieduszynski
Biological systems are made up of components that change their actions (and interactions) over time and coordinate with other components nearby. Together with a large state space, the complexity of this behaviour can make it difficult to create concise mathematical models that can be easily extended or modified. This…
Pulan Yu
Associative classification mining (ACM) integrating association rule mining and classification has become a significant tool for knowledge discovery, especially in the chemical domain. Its major advantage is providing high accuracy as well as chemically interpretable models. Additionally, it is able to find…