2023 - Research.com Computer Science in Australia Leader Award
Arthur H. M. ter Hofstede mainly focuses on Software engineering, Business process, Business process modeling, Workflow and Process modeling. Arthur H. M. ter Hofstede is involved in the study of Business process that focuses on Business process management in particular. His studies in Business process management integrate themes in fields like Artificial intelligence, Business process discovery, Data science and Process management.
In the subject of general Business process modeling, his work in Business Process Model and Notation is often linked to Structure, thereby combining diverse domains of study. His Workflow research includes elements of Collaborative software, Distributed computing, Petri net and Exception handling. His biological study spans a wide range of topics, including Domain, Space, Data mining and Enterprise system.
Arthur H. M. ter Hofstede mostly deals with Business process, Process, Process mining, Business process management and Business process modeling. His research investigates the connection between Business process and topics such as Software engineering that intersect with issues in Workflow management system, XPDL, Systems engineering, Database and Workflow patterns. The concepts of his Process study are interwoven with issues in Domain, Human–computer interaction, Risk analysis, Work in process and Workflow.
The Process mining study combines topics in areas such as Data mining, Business process discovery, Event, Data quality and Data science. His research in Business process management intersects with topics in Scalability, Real-time computing, Process automation system, Risk management and Process management. The Business process modeling study which covers Process modeling that intersects with Artificial intelligence and Theoretical computer science.
Process mining, Process, Business process, Event and Data science are his primary areas of study. Arthur H. M. ter Hofstede has researched Process mining in several fields, including Quality, Data quality, Process modeling, Data mining and Business process discovery. Arthur H. M. ter Hofstede studied Process modeling and Artifact-centric business process model that intersect with Business Process Model and Notation.
His study in Process is interdisciplinary in nature, drawing from both Domain, Visualization and Workflow. His study involves Business process management and Business process modeling, a branch of Business process. His studies deal with areas such as Automation and Software engineering as well as Business process management.
Arthur H. M. ter Hofstede spends much of his time researching Process mining, Event, Process, Business process and Data mining. His Process mining research is multidisciplinary, incorporating elements of Process modeling, Data modeling, Business process discovery, Variety and Data quality. His work deals with themes such as Relation, Theoretical computer science and Task, which intersect with Event.
The study incorporates disciplines such as Domain, Computation and Data science in addition to Process. His research on Business process focuses in particular on Business process management. His research integrates issues of Business Process Model and Notation, Process and Artifact-centric business process model in his study of Business process management.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Business process management: a survey
Wil M. P. Van Der Aalst;Arthur H. M. Ter Hofstede;Mathias Weske.
(2003)
Process Aware Information Systems: Bridging People and Software Through Process Technology
Marlon Dumas;Wil M. van der Aalst;Arthur H. ter Hofstede.
(2005)
Process Mining Manifesto
Wil van der Aalst;Wil van der Aalst;Arya Adriansyah;Ana Karla Alves de Medeiros;Franco Arcieri.
(2012)
Workflow resource patterns: identification, representation and tool support
Nick Russell;Wil M. P. van der Aalst;Arthur H. M. ter Hofstede;David Edmond.
(2005)
Workflow data patterns: identification, representation and tool support
Nick Russell;Arthur H. M. ter Hofstede;David Edmond;Wil M. P. van der Aalst.
(2005)
Formal semantics and analysis of control flow in WS-BPEL
Chun Ouyang;Eric Verbeek;Wil M. P. van der Aalst;Stephan Breutel.
(2007)
UML Activity Diagrams as a Workflow Specification Language
Marlon Dumas;Arthur H. M. ter Hofstede.
(2001)
What's in a Service?
Justin O'Sullivan;David Edmond;Arthur Ter Hofstede.
(2002)
Service interaction patterns
Alistair Barros;Marlon Dumas;Arthur H. M. ter Hofstede.
(2005)
Advanced Workflow Patterns
Wil M. P. van der Aalst;Alistair P. Barros;Arthur H. M. ter Hofstede;Bartek Kiepuszewski.
(2000)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
RWTH Aachen University
University of Melbourne
University of Tartu
University of Birmingham
Utrecht University
Humboldt-Universität zu Berlin
Queensland University of Technology
Tsinghua University
Commonwealth Scientific and Industrial Research Organisation
City University of Hong Kong
Autonomous University of Madrid
Hong Kong Baptist University
University of Paris-Saclay
University of Fribourg
University of Connecticut
Polish Academy of Sciences
University of Akron
University of Edinburgh
University of Wisconsin–Madison
Nagoya University
University of Tasmania
University of California, San Francisco
University of Amsterdam
Charité - University Medicine Berlin
London School of Economics and Political Science
University of Pisa