16 papers · ranked by Valyu relevance
Jana B. Jarecki, Jolene H. Tan, Mirjam A. Jenny
The term process model is widely used, but rarely agreed upon. This paper proposes a framework for characterizing and building cognitive process models. Process models model not only inputs and outputs but also model the ongoing information transformations at a given level of abstraction. We argue that the following…
Daniel Schuster, Elisabetta Benevento, Davide Aloini, Wil M. P. van der Aalst
'Wil M. P. van der Aalst'] Abstract Most process mining techniques are primarily automated, meaning that process analysts input information and receive output. As a result, process mining techniques function like black boxes with limited interaction options for analysts, such as simple sliders for filtering infrequent…
Nikola Simidjievski, Ljupčo Todorovski, Sašo Džeroski, Bin Liu
Ensembles are a well established machine learning paradigm, leading to accurate and robust models, predominantly applied to predictive modeling tasks. Ensemble models comprise a finite set of diverse predictive models whose combined output is expected to yield an improved predictive performance as compared to an…
Paul Kroll, Alexandra Hofer, Sophia Ulonska, Julian Kager + 1 more
'Christoph Herwig'] Model-based methods are increasingly used in all areas of biopharmaceutical process technology. They can be applied in the field of experimental design, process characterization, process design, monitoring and control. Benefits of these methods are lower experimental effort, process transparency…
Weidong Zhao, Xi Liu, Weihui Dai
Process mining is automated acquisition of process models from event logs. Although many process mining techniques have been developed, most of them are based on control flow. Meanwhile, the existing role-oriented process mining methods focus on correctness and integrity of roles while ignoring role complexity of the…
Julia Baß, Michael Winter, Rüdiger Pryss, Manfred Reichert + 1 more
'Daniele Corbo'] The study of complex process models often encounters challenges in terms of comprehensibility. This paper explores using modularization as a strategy to mitigate such challenges, notably the reduction in complexity. Previous research has delved into the comprehensibility of modularized process models…
Markus Martini, Jakob Pinggera, Manuel Neurauter, Pierre Sachse + 2 more
'Marco R. Furtner' 'Barbara Weber'] A process model (PM) represents the graphical depiction of a business process, for instance, the entire process from online ordering a book until the parcel is delivered to the customer. Knowledge about relevant factors for creating PMs of high quality is lacking. The present study…
Jovan Tanevski, Ljupčo Todorovski, Sašo Džeroski
Background Identifying a proper model structure, using methods that address both structural and parameter uncertainty, is a crucial problem within the systems approach to biology. And yet, it has a marginal presence in the recent literature. While many existing approaches integrate methods for simulation and parameter…
Andrea Burattin, Vered Bernstein, Manuel Neurauter, Pnina Soffer + 1 more
'Barbara Weber'] Business process models abstract complex business processes by representing them as graphical models. Their layout, as determined by the modeler, may have an effect when these models are used. However, this effect is currently not fully understood. In order to systematically study this effect, a basic…
Kacy K Verdi, Heidi JC Ellis, Michael R Gryk
Background Scientific workflows improve the process of scientific experiments by making computations explicit, underscoring data flow, and emphasizing the participation of humans in the process when intuition and human reasoning are required. Workflows for experiments also highlight transitions among experimental…
Marcial García Rojo, Elvira Rolón, Luis Calahorra, Felix Óscar García + 6 more
'Felix Óscar García' 'Rosario Paloma Sánchez' 'Francisco Ruiz' 'Nieves Ballester' 'María Armenteros' 'Teresa Rodríguez' 'Rafael Martín Espartero'] Background Process orientation is one of the essential elements of quality management systems, including those in use in healthcare. Business processes in hospitals are very…
Rebecca Mancy, Patrick M. Brock, Rowland R. Kao
Process models that focus on explicitly representing biological mechanisms are increasingly important in disease ecology and animal health research. However, the large number of process modelling approaches makes it difficult to decide which is most appropriate for a given disease system and research question. Here, we…
Alexandros Bousdekis, Athanasios Kerasiotis, Silvester Kotsias, Georgia Theodoropoulou + 4 more
'Georgia Theodoropoulou' 'Georgios Miaoulis' 'Djamchid Ghazanfarpour' 'Alberto Cano' 'Sylvio Barbon Junior'] The analysis of business processes based on their observed behavior recorded in event logs can be performed with process mining. This method can discover, monitor, and improve processes in various application…
Jiwei Huang, Yeping Zhu, Bo Cheng, Chuang Lin + 2 more
'Albert M. K. Cheng'] With the growing popularity of complex dynamic activities in manufacturing processes, traceability of the entire life of every product has drawn significant attention especially for food, clinical materials, and similar items. This paper studies the traceability issue in cyber-physical…
Dov Dori, Mordechai Choder, Peter Fraser
One of the main obstacles to understanding complex biological systems is the extent and rapid evolution of information, way beyond the capacity individuals to manage and comprehend. Current modeling approaches and tools lack adequate capacity to model concurrently structure and behavior of biological systems. Here we…
N. Furian, M. O’Sullivan, C. Walker, S. Vössner + 1 more
Conceptual Modeling (CM) is a fundamental step in a simulation project. Nevertheless, it is only recently that structured approaches towards the definition and formulation of conceptual models have gained importance in the Discrete Event Simulation (DES) community. As a consequence, frameworks and guidelines for…