Publicaties
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Internal fraud risk reduction by data mining and process mining: framework and case study Universiteit Hasselt
The lack of data analysis research on internal fraud in the academic field, is an opportunity to devote attention to. We decide to focus our research objective on internal fraud, with transaction fraud (not investigated at all) being a part of this. That internal fraud is worth investigating, is already touched upon in section 1.1.5. The average financial damage to companies subjected to the PwC survey, was US$ 2.42 million per company and ...
Gaining insight into student satisfaction using comprehensible data mining techniques KU Leuven
As a consequence of the heightened competition on the education market, the management of educational institutions often attempts to collect information on what drives student satisfaction by e.g. organizing large scale surveys amongst the student population. Until now, this source of potentially very valuable information remains largely untapped. In this study, we address this issue by investigating the applicability of different data mining ...
Motif discovery with data mining in 3d protein structure databases: discovery, validation and prediction of the u-shape zinc binding ("huf-zinc") motif KU Leuven
Data mining in protein databases, derivatives from more fundamental protein 3D structure and sequence databases, has considerable unearthed potential for the discovery of sequence motif-structural motif-function relationships as the finding of the U-shape (Huf-Zinc) motif, originally a small student's project, exemplifies. The metal ion zinc is critically involved in universal biological processes, ranging from protein-DNA complexes and ...
Motif discovery with data mining in 3d protein structure databases: discovery, validation and prediction of the u-shape zinc binding ("huf-zinc") motif KU Leuven
Data mining in protein databases, derivatives from more fundamental protein 3D structure and sequence databases, has considerable unearthed potential for the discovery of sequence motif-structural motif-function relationships as the finding of the U-shape (Huf-Zinc) motif, originally a small student's project, exemplifies. The metal ion zinc is critically involved in universal biological processes, ranging from protein-DNA complexes and ...
Visual data mining for higher-level patterns: Discrimination-aware data mining and beyond KU Leuven
An important question facing visualization methods is how to be both general and support open-ended exploratory analysis. In this paper, we propose a visualization approach that can on the one hand be applied to any (classification or association) rules, but that is suited to bringing out features of mined patterns that are especially important in discrimination-aware and privacyaware data mining. We define new interestingness measures for items ...
In search of sustainable design patterns : combining data mining and semantic data modelling on disparate building data Universiteit Gent
Cross-domain analytical techniques have made the prediction of outcomes in building design more accurate. Yet, many decisions are based on rules of thumb and previous experiences, and not on documented evidence. That results in inaccurate predictions and a difference between predicted and actual building performance. This article aims to reduce the occurrence of such errors using a combination of data mining and semantic modelling techniques, by ...
Process Mining Using Electronic Health Records Data - Quo Vadis? Reflections from Observing Nurses' Activities and Data Registration Behavior Universiteit Hasselt
Process mining leverages process execution data to better understand and improve operational processes. In hospitals, data from the Electronic Health Records (EHR) system that supports their daily operations is often used as input data for process mining. As limitations of EHR data in terms of data quality have also been highlighted in literature, it remains an open question how well EHR data reflects how work actually gets done in a care ...
Semantic data mining and linked data for a recommender system in the AEC industry Universiteit Gent
Even though it can provide design teams with valuable performance insights and enhance decision-making, monitored building data is rarely reused in an effective feedback loop from operation to design. Data mining allows users to obtain such insights from the large datasets generated throughout the building life cycle. Furthermore, semantic web technologies allow to formally represent the built environment and retrieve knowledge in response to ...