A5048446657- Business Process Modeling and Analysis
- Service-Oriented Architecture and Web Services
- Simulation Techniques and Applications
- Data Quality and Management
- Data Mining Algorithms and Applications
- Semantic Web and Ontologies
- Scheduling and Optimization Algorithms
- Cognitive Computing and Networks
- Cognitive Science and Mapping
- Big Data and Business Intelligence
- Multi-Criteria Decision Making
- Urban and Freight Transport Logistics
- Customer Service Quality and Loyalty
- Vehicle Routing Optimization Methods
- Flexible and Reconfigurable Manufacturing Systems
- Manufacturing Process and Optimization
- Optimization and Packing Problems
- Scientific Computing and Data Management
- Advanced Manufacturing and Logistics Optimization
- Digital Marketing and Social Media
- Rough Sets and Fuzzy Logic
- Data Management and Algorithms
- Advanced Database Systems and Queries
- Consumer Market Behavior and Pricing
- Computability, Logic, AI Algorithms
Hasselt University
2015-2024
RWTH Aachen University
2019
Universitat Politècnica de Catalunya
2019
The University of Melbourne
2019
Eindhoven University of Technology
2019
Clinical Research Consortium
2019
Research Foundation - Flanders
2012
It may be tempting for researchers to stick incremental extensions of their current work plan future research activities. Yet there is also merit in realizing the grand challenges one’s field. This paper presents an overview nine major problems Business Process Management discipline. These have been collected by open call community, discussed and refined a workshop setting, described here detail, including motivation why these are worth investigating. serve purpose inspiring both novice...
This article responds to the calls from research field find effective ways distinguish between different categories of family firms. The authors contribute this literature by extending and refining previous firm typologies. To attain objective, introduce professionalization construct as basis for distinguishing As is often approached in an oversimplified, one-dimensional manner, they first conduct exploratory factor analysis reveal its multidimensional nature. Based on these results, drawn a...
Learning analytics (LA) has emerged as a field that offers promising new ways to prevent drop-out and aid retention. However, other research suggests large datasets of learner activity can be used understand online learning behaviour improve pedagogy. While the use LA in language received little attention date, available could provide valuable insights into task design for instructors materials designers, well help students with effective strategies personalised pathways. This paper first...
This paper focuses on the potential of process mining to support construction business simulation (BPS) models. To date, research efforts are scarce and have a rather conceptual nature. Moreover, publications fail explicit complex internal structure model. The current outlines general BPS Building these foundations, modeling tasks for main components model identified. value state art in literature discussed. Consequently, multitude promising challenges In this sense, can guide future use context.
The goal of this article is to introduce a collaborative clustering approach the domain ubiquitous knowledge discovery. This suitable in peer-to-peer networks where different data sites want cluster their local as
Abstract The field of combinatorial optimization has inspired the development a large number heuristic solution procedures. These methods are commonly assessed using competitive evaluation methodology that may give an indication which algorithm better performance. A next step in experimental analysis is to uncover “why” one performs better. Which elements responsible for good or bad performance? How does performance vary across design space? What influence specific problem instance being...