Processes involve interacting objects of different types, such as orders, items and machines. Object-centric event logs capture the execution of activities with the involved objects in such processes. Discovery algorithms use these logs to ...

Although Internet of Things (IoT) systems are widely used in various industries, they are prone to data collection errors due to device limitations and environmental factors. These errors can significantly degrade the quality of collected data and the ...

Intrusion Detection Systems (IDS) allow for detecting malicious activities in organizational networks and hosts. As the Industrial Internet of Things (Industrial IoT) has gained momentum and attackers become process-aware, it elevates the focus on ...

User and Entity Behavior Analytics (UEBA) is key for managing security risks on information systems and comprehending user activities' impact on the network infrastructure. However, accessing network traffic and Web logs is challenging due to encryption ...

Models such as finite state automata are widely used to abstract the behavior of software systems by capturing the sequences of events observable during their execution. Nevertheless, models rarely exist in practice and, when they do, get easily outdated; ...

Trustworthy Open Source Software (OSS) development processes are the basis that secures the long-term trustworthiness of software projects and products. With the aim to investigate the trustworthiness of the Pull Request (PR) process, the common model of ...

Business process integration (BPI) allows organizations to connect and automate their business processes in order to deliver the right economic resources at the right time, place, and price. BPI requires the integration of business processes and their ...

Through the application of process mining, business processes can be improved on the basis of process execution data captured in event logs. Naturally, the quality of this data determines the quality of the improvement recommendations. Improving data ...

Discovering the business process model from an organisation’s records of its operational processes is an active area of research in process mining. The discovered model may be used either during a new system rollout or to improve an existing system. In ...

Process mining is an emerging research field which deals with discovering, monitoring and improving business processes by analyzing and mining data in the form of event logs. Event logs can be extracted by most of the existing enterprise information ...

The sustainability of businesses determines the long-term success of companies and is increasingly being integrated into the target systems of industrial companies. Production, and thus the strategic network design of internal production networks, ...

Process event logs record information about the execution of the activities of a business process. Process mining techniques use these event logs to discover, analyze, and optimize business processes. Process mining tools offer many ...

Many organizations have adopted process mining to analyze their business processes, gain insights into their performance, and identify improvement opportunities. Several academic case studies and reports from practice leave no doubt that process ...

The Learning Management System (LMS) is software specifically designed to create, distribute, and manage the delivery of educational content. Current studies have reported various findings on students’ LMS activities and evaluations. However, less is ...

Understanding attackers’ behavior is crucial to respond to cyberattacks effectively. Process Mining (PM) is a valuable tool that analyzes runtime events from information systems to discover coordinated tasks to achieve an objective. Our previous ...

Since its emergence over two decades ago, process mining has flourished as a discipline, with numerous contributions to its theory, widespread practical applications, and mature support by commercial tooling environments. However, its potential for ...

Evidence-based innovations are critical in optimising the delivery of healthcare services. Process mining aims to provide healthcare stakeholders with insights, derived from historical data recorded in hospital information systems, to optimise ...${}^{\mathrm{}}$

Process performance measurement assesses how well a process is running, covering various dimensions such as time, cost, and quality. This task involves the definition of measurable Process Performance Indicators (PPIs), which in many cases are ...

Complex manufacturing systems produce highly engineered products with long product cycle times and are characterized by complex production process behaviors. Ensuring the reliability of these systems is critical to meet customer demands, improve product ...

With the recent developments of Internet of Things (IoT) and cloudbased technologies, massive amounts of data are generated by heterogeneous sources and stored through dedicated cloud solutions. Often organizations generate much more data than they are ...