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Discovering business rules from business process models are of advantage to ensure the compliance of business processes with business rules. Furthermore it provides the agility of business processes in case of business rules evolution.... more
Collaborative business services represent the collaboration of business service domains across organisations. This collaboration is characterised by the interdependencies of business activities and business resources between business... more
Profound understanding of business processes is a key success factor for Business Process Management (BPM). As more and more analytical information like runtime data from process execution or statistical data from business intelligence... more
To ensure their competitive advantage an increasing number of organizations adopt business process management for design, automation, and analysis of their business processes. In order to reduce cost, improve quality, save time, and... more
The environmental impact of doing business becomes an increasingly relevant aspect for organizations, not only because of legal requirements but also because more customers care about environmental influences. Most organizations, however,... more
Process mining is a research field focused on the analysis of event data with the aim of extracting insights related to dynamic behavior. Applying process mining techniques on data from smart home environments has the potential to provide... more
A prompt increase in the number of sensor devices, and the progress in sensor data analytics have led to new opportunities as well as challenges. One such challenge is to acquire and analyze life-log data of human activities. The... more
Process mining is a research field focused on the analysis of event data with the aim of extracting insights in processes. Applying process mining techniques on data from smart home environments has the potential to provide valuable... more
Process mining is a research field focused on the analysis of event data with the aim of extracting insights related to dynamic behavior. Applying process mining techniques on data from smart home environments has the potential to provide... more
Nowadays, organizations have to adjust their business processes along with the changing environment in order to maintain a competitive advantage. Changing a part of the system to support the business process implies changing the entire... more
Nowadays, organizations have to adjust their business processes along with the changing environment in order to maintain a competitive advantage. Changing a part of the system to support the business process implies changing the entire... more
International data sharing has become crucial for today's business world, but old ways of doing this have big security and rule-following problems. Companies have trouble with bad tracking systems, poor data protection when processing... more
Agility is a key characteristic for modern enterprises operating in a highly dynamic environment. The attainment of agility is a difficult issue involving all organizational aspects, such as business processes, information systems,... more
Process discovery studies algorithms for constructing process models that describe control flow of systems that generated given event logs, where an event log is a recording of executed traces of a system, with each trace captured as a... more
Today's business processes are often controlled and supported by information systems. These systems record real-time information about business processes during their executions. This enables the analysis at runtime of the process... more
The problem of process discovery in process mining studies ways to construct process models that encode business processes that induced event data recorded by IT systems. Most existing discovery algorithms are concerned with constructing... more
State-of-the-art process discovery methods construct free-choice process models from event logs. Hence, the constructed models do not take into account indirect dependencies between events. Whenever the input behavior is not free-choice,... more
The problem of automated discovery of process models from event logs has been intensively researched in the past two decades. Despite a rich field of proposals, state-ofthe-art automated process discovery methods suffer from two recurrent... more
This paper proposes a methodology for business process analysis, conceived in the context of business process (BP) innovation. The proposal, part of a more encompassing methodology referred to as EasInnova, addresses business process... more
Industry 4.0 is a key strategic trend of the economy. Virtual factories are key building blocks for Industry 4.0 where product design processes, manufacturing processes and general collaborative business processes across factories and... more
Business process models can help to improve process visibility and shared understanding, particularly across internal and external stakeholders. By supporting knowledge transfer and enhancing documentation, they aid compliance and... more
Rules based approaches for data quality solutions often use business rules or integrity rules for data monitoring purpose. Integrity rules are constraints on data derived from business rules into a formal form in order to allow... more
Discovering business rules from business process models are of advantage to ensure the compliance of business processes with business rules. Furthermore it provides the agility of business processes in case of business rules evolution.... more
Collaborative business services represent the collaboration of business service domains across organisations. This collaboration is characterised by the interdependencies of business activities and business resources between business... more
The manufacture of an information product (IP) is akin to the manufacture of a physical product. Current approaches to model such information manufacturing systems (IMS), lack the ability to systematically represent the dynamic changes... more
Healthcare organizations, which are facing the challenge of delivery personalized services to their patients, are obviously affected by the problems of flexibility and adaptability of their processes. This research is applied to... more
Two techniques commonly used in the conceptual modelling of information systems are process modelling and business rule modelling. In this paper we propose a technique for associating certain types business rules with structures in a... more
Collaborative business services represent the collaboration of business service domains across organisations. This collaboration is characterised by the interdependencies of business activities and business resources between business... more
Se presenta una serie de casos de estudio que ilustran aplicaciones sobre el proceso y el producto. Además, se muestran los desafíos a los que se enfrenta la minería de procesos en la ingeniería de software. El principal resultado de esta... more
In this paper we want to reinforce that process mining is a powerful tool in organizations, in addition we want to demonstrate to the Peruvian entrepreneur that its application brings substantial benefits to the company and the people... more
One of the most common and costly problems that organizations are facing is to find the causes of failures in business processes. Failures are often due to missing or unnecessary execution of some process activities; or with how some... more
In knowledge-intensive processes, knowledge workers have to choose from many actions those that align best with their objectives. This is challenging since such a decision involves explicit and tacit knowledge and may affect the future of... more
Process discovery methods have obtained remarkable achievements in Process Mining, delivering comprehensible process models to enhance management capabilities. However, selecting the suitable method for a specific event log highly relies... more
Process mining is an area that seeks to extract insights from event logs obtained from work performed by infomation systems. Although there has already been significant improvement over techniques developed for predictive process mining,... more
Due to the increased use of information systems by organizations, information on the execution of processes is recorded. This enables using process mining as a tool for improving process performance. Process mining allows gaining insights... more
Managing process variability enable the process model adaptability according changes in the application environment. In the healthcare area, flexibility is essential to provide a quality treatment because, even patients with the same... more
Business process modeling methodologies need to pay attention to (1) the changing and distributed nature of business process, and (2) the contextual and tacit nature of the knowledge that operational actors have regarding business... more
Due to the environmental pressures on organizations, the demand on Business Process Management (BPM) automation suites has increased. This led to the arising need for managing process-related risks. Therefore the management of risks in... more
Due to the environmental pressures on organizations, the demand on Business Process Management (BPM) automation suites has increased. This led to the arising need for managing process-related risks. Therefore the management of risks in... more
Due to the environmental pressures on organizations, the demand on Business Process Management (BPM) automation suites has increased. This led to the arising need for managing process-related risks. Therefore the management of risks in... more
The approach to models generation automation and implementation of multifaceted business process modeling on the basis of graphical model transformation is described. To create graphical models of diverse notations (diagrams in notations... more
In the past few years, substantial research has been conducted to find out the anomalies present in the real-world business processes. Existing research either uses process mining techniques or discrete sequence-based anomaly detection... more
The aim of this study was to identify user strategies to infer their intentions in developing activities, from the current process model and the real process model of the business. A user’s intentions can be used to identify their... more
Для проведення перепроектування (реінжинірингу) бізнеспроцесів (БП) з метою досягнення істотного поліпшення якості поліграфічного підприємства використовуються різні методи: експертні, нечіткої логіки, структурного аналізу та ін., які... more
Для проведення перепроектування (реінжинірингу) бізнеспроцесів (БП) з метою досягнення істотного поліпшення якості поліграфічного підприємства використовуються різні методи: експертні, нечіткої логіки, структурного аналізу та ін., які... more
Organisations have to cope with large numbers of business rules and existing regulations governing the business in which they operate. Such rules are difficult to maintain due to their size and complexity, and it is increasingly... more
Business process standardization is the activity of unifying different variants of a family of business processes. While the positive effects of business process standardization are well-described, it is often undesirable to fully unify... more
This special issue of Neusis focuses on the role of prediction in scientific practice and examines the following questions: How has the role and status of prediction changed historically? How is the gap between theory and prediction of... more
A safety signal is data or information that may suggest a new causal association, or contribute new information about a known association, between a medicine and an adverse event that justifies further investigation. Signals are generated... more