Publications
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Towards an open data exchange ecosystem : forging a new path for cell migration data analysis and mining Ghent University
Revisiting the pseudo continuous pedotransfer function concept: impact of data quality and data mining method Ghent University
Interesting pattern mining in multi-relational data Ghent University
Mining patterns from multi-relational data is a problem attracting increasing interest within the data mining community. Traditional data mining approaches are typically developed for single-table databases, and are not directly applicable to multi-relational data. Nevertheless, multi-relational data is a more truthful and therefore often also a more powerful representation of reality. Mining patterns of a suitably expressive syntax directly ...
Mining Recency-Frequency-Monetary enriched insights into resources' collaboration behavior from event data Hasselt University
Organizations increasingly rely on teamwork to achieve their goals. Therefore they continuously strive to improve their teams as their performance is interwoven with that of the organization. To implement beneficial changes, accurate insights into the working of the team are necessary. However, team leaders tend to have an understanding of the team's collaboration that is subjective and seldom completely accurate. Recently there has been an ...
Mining and visualizing usage of educational systems using linked data Ghent University
This work introduces a case study on usage of semantic context modelling and creation of Linked Data from logs in educational systems like a Personal Learning Environment (PLE) with focus on improvements and monitoring such systems, in generally, with respect to social, functional, user and activity centric level [7,15]. The case study demonstrates the application of semantic modelling of the activity context, from data collected over two years ...
Data mining for more efficient enforcement: A practitioner toolkit from the thematic workshop of the European Platform Undeclared Work Ghent University
50 years of Data Mining and OR: upcoming trends and challenges Ghent University University of Antwerp KU Leuven
Data mining involves extracting interesting patterns from data and can be found at the heart of operational research ( OR), as its aim is to create and enhance decision support systems. Even in the early days, some data mining approaches relied on traditional OR methods such as linear programming and forecasting, and modern data mining methods are based on a wide variety of OR methods including linear and quadratic optimization, genetic ...
Internal Fraud Risk Reduction: Results of a Data Mining Case Study Hasselt University
Corporate fraud these days represents a huge cost to our economy. Academic literature already concentrated on how data mining techniques can be of value in the fight against fraud. All this research focusses on fraud detection, mostly in a context of external fraud. In this paper we discuss the use of a data mining technique to reduce the risk of internal fraud. Reducing fraud risk comprehends both detection and prevention, and therefore we ...