Hajo A. Reijers
Utrecht University
Software engineeringData miningProcess miningEngineeringWorkflow management systemArtifact-centric business process modelWorkflowBusiness Process Model and NotationInformation systemProcess managementBusiness process modelingQuality (business)Business process reengineeringComputer scienceProcess (engineering)Knowledge managementProcess modelingBusiness process managementBusiness processBusiness process discovery
402Publications
66H-index
10.8kCitations
Publications 375
Newest
#1Banu Aysolmaz (TU/e: Eindhoven University of Technology)
#2Hajo A. Reijers (TU/e: Eindhoven University of Technology)H-Index: 66
Abstract Process models are widely used for various system analysis and design activities, but it is challenging for stakeholders to understand these complex artifacts. In this work, we focus on the use of dynamic visualization techniques, in particular animation, to help reduce users’ cognitive load when making sense of process models. We built on the principles of the cognitive theory of multimedia learning, cognitive load theory, and cognitive dimensions framework to develop an adaptive anima...
Source
#1Jan Martijn E. M. van der Werf (UU: Utrecht University)H-Index: 16
#2Artem Polyvyanyy (UT: University of Tartu)H-Index: 22
Last. Hajo A. Reijers (UU: Utrecht University)H-Index: 66
view all 5 authors...
The aim of a process discovery algorithm is to construct from event data a process model that describes the underlying, real-world process well. Intuitively, the better the quality of the event data, the better the quality of the model that is discovered. However, existing process discovery algorithms do not guarantee this relationship. We demonstrate this by using a range of quality measures for both event data and discovered process models. This paper is a call to the community of IS engineers...
1 CitationsSource
#1Robert AndrewsH-Index: 9
#2Fahame EmamjomeH-Index: 3
Last. Hajo A. ReijersH-Index: 66
view all 4 authors...
Big data's rise has amplified the role of information systems in process management. Process mining, a branch of data science, provides analytical tools and methods which can distil insights about process behaviour from big process-related data. Yet challenges remain, including dealing with the quality of big data and the impact of poor quality data on event logs as the input to process mining analyses. In previous work, we have shown that despite researchers raising concerns about event log dat...
Source
#1Thais Neubauer (USP: University of São Paulo)
#2Sarajane Marques Peres (USP: University of São Paulo)H-Index: 9
Last. Hajo A. Reijers (UU: Utrecht University)H-Index: 66
view all 5 authors...
We present in this paper a scoping review conducted in the interactive clustering area. Interactive clustering has been applied to leverage the strengths of both unsupervised and supervised learning. In interactive clustering, supervised learning is represented by inserting the knowledge of human experts in an originally unsupervised data analysis process. This scoping review aimed to organize the knowledge on (i) the applicability of interactive clustering methods, (ii) clustering algorithms be...
Source
#1Hajo A. Reijers (TU/e: Eindhoven University of Technology)H-Index: 66
Abstract Business Process Management (BPM) embodies a management philosophy, which is supported by a range of methods, techniques, and tools. Academics are continuously expanding this repertoire. In this overview article, the themes are sketched that characterize the development of the BPM discipline over the years: BPM Systems, process modeling, process design, coordination and interoperability, model management, process mining, and new technologies. Each of the themes is characterized in this ...
Source
#1Rafael Gaspar De Sousa (USP: University of São Paulo)
#2Sarajane Marques Peres (USP: University of São Paulo)H-Index: 9
Last. Hajo A. Reijers (UU: Utrecht University)H-Index: 66
view all 4 authors...
Business processes are subject to changes over time due to the need for adaptation and flexibility to a complex environment. Detecting drift as soon as possible and identifying the process elements involved, lead to a much better understanding of the process behavior, which can be a competitive edge for businesses. However, most existing approaches focus on each of these two tasks separately. Isolated approaches do not always have interfaces between them that allow you to combine solutions effec...
Source
#2Iris Beerepoot (UU: Utrecht University)H-Index: 2
Last. Hajo A. Reijers (UU: Utrecht University)H-Index: 66
view all 5 authors...
#1Iris Beerepoot (UU: Utrecht University)H-Index: 2
#2Xixi Lu (UU: Utrecht University)H-Index: 11
Last. Hajo A. Reijers (UU: Utrecht University)H-Index: 66
view all 4 authors...
Source
#1Michael Leyer (University of Rostock)H-Index: 11
#2Banu Aysolmaz (TU/e: Eindhoven University of Technology)H-Index: 6
Last. Hajo A. Reijers (UU: Utrecht University)H-Index: 66
view all 5 authors...
Industrial organisations spend considerable resources on training employees with respect to the organisations’ business processes. These resources include business process models, diagrams depicting vital activities, workflows, roles, systems, and data within these processes. However, these models are difficult to comprehend, partly because they possess minimal connection to real-world concepts. Alternately, 3D environments allow greater learning opportunities for process-related knowledge. To t...
1 CitationsSource
#1Marcus DeesH-Index: 5
Last. Hajo A. ReijersH-Index: 66
view all 4 authors...
Source