Publications

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 ...

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 ...

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 ...

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 ...

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 this introduction, we briefly summarize the state of data and text mining today. Taking a very broad view, we use the term information mining to refer to the organization and analysis of structured or unstructured data that can be quantitative, textual, and/or pictorial in nature. The key question, in our view, is, "How can we transform data (in the very broad sense of this term) into 'actionable knowledge', knowledge that we can use in ...

We present a system towards the integration of data mining into relational databases. To this end, a relational database model is proposed, based on the so called virtual mining views. We show that several types of patterns and models over the data, such as itemsets, association rules and decision trees, can be represented and queried using a unifying framework.