Projects

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Theoretical Foundations of Finding Significant Patterns in Data Mining. University of Antwerp

Bart Goethals
ADReM Data Lab (ADReM)
The umbrella topic of the research is to study the theoretical foundations of pattern mining in binary data. The rest of the section discusses different specific directions of the research.* Axiomatic Approach for Defining Measure of Significance of Itemsets : Our goal is to study whether this tradeoff holds in general?Our hypothesis is that the property required by the APRIORI algorithm poses strong conditions on how and what prior information ...

Deciphering hidden inheritance patterns using advanced data mining techniques on high throughput genomic data. University of Antwerp

Geert Vandeweyer
Cognitive Genetics (COGNET)
Today, technologies exist to screen complete human genomes for genetic defects, hereby producing vast amounts of data. These techniques include microarrays for the detection of duplicated or missing genomic material and next-generation sequencing for the detection of variation at the nucleotide level. In parallel, extensive but distributed public resources contain biological information on the observed variation, to aid in interpretation of the ...

Methodologies and Data mining techniques for the analysis of Big Data based on Longitudinal Population and Epidemiological Registers KU Leuven

Koenraad Matthys
Centre for Sociological Research

European societies face rapid social changes, challenges and benefits, which can be studied with traditional tools of analysis, but with serious limitations. This rapid transformation covers changes in family forms, fertility, the decline of mortality and increase of longevity, and periods of economic and social instability. Owing to population ageing across Europe, countries are now experiencing the impact of these rapid changes on the ...

Ion mobility assisted Data Independent Acquisition of the histone code: opening up peptide-centric data mining. Ghent University

Dieter Deforce
Department of Pharmaceutics

Histone proteins are intimately associated with DNA to form the chromatin. Epigenetic posttranslational modifications (PTM) on histones regulate transcription in all Eukaryotes. Here, we will apply the latest in bottom-up mass spectrometry data independent acquisition (DIA) to simultaneously map hundreds of PTM combinations in a quantitative manner and to generate a first birdU+2019s eye view of the so-called histone code.

Modelling Relational Data Mining KU Leuven

Luc De Raedt
Informatics Section, Declarative Languages and Artificial Intelligence (DTAI)

The goal of data mining is to discover new knowledge in the data. This
thesis studies a number of relational data mining problems and
demonstrates how they can be modelled and solved. Relational data
mining involves dealing with complex and interconnected data, such as
spreadsheets or relational tables in databases.

Specifically, we follow a general, declarative, view on a
class of relational data ...

Efficient mining for unexpected patterns in complex biological data. University of Antwerp

Kris Laukens
ADReM Data Lab (ADReM)
The last decade, life sciences have become increasingly overwhelmed and driven by large amounts of complex data. Thanks to disruptive new technologies, the speed at which the biomolecules (such as DNA, metabolites or proteins) of a living system can be analyzed, is already for several years increasing faster than the capacity of computer processors and hard drives. This trend means that "traditional techniques" to analyze and interpret ...

Principles of Pattern Set Mining for structured data. University of Antwerp

Bart Goethals
ADReM Data Lab (ADReM)
In this project, we propose to develop and study general techniques to mining sets of patterns directly. Such pattern sets should contain only high quality patterns that are of direct interest to the user and her application.By developing pattern set mining techniques, we hope to to lift pattern mining techniques from the local to the global level, which in turn should contribute to a better understanding of the role of pattern mining techniques ...

Enhancing Business Process Mining with IoT context data KU Leuven

Estefanía Serral Asensio
Department of Decision Sciences and Information Management, Brussels Campus, Research Centre for Information Systems Engineering (LIRIS), Brussels Campus, Research Centre for Information Systems Engineering (LIRIS), Leuven

Process Mining (PM) techniques can be used to automatically discover the process flows of Business Processes (BPs) from event logs. Incorporating process context data in PM could yield more accurate models and help understand better the behaviour of BPs and the issues they may present. Though a fair amount of context data can be collected using IoT devices, existing PM techniques rarely exploit IoT context data. This project focuses on ...

Mobility, Data Mining and Privacy Hasselt University

Databases and Theoretical Computer Science
With the advance and wide usage of GPS enabled devices and other positioning systems, mobility behaviour of individuals can now be captured and streamed into data warehouse for online or historical data analysis. We refer to such data as mobility data. Mobility data mining comes into picture as an emerging field which aims to extract knowledge from mobility data with a lot of opportunities as well as risks. The risks arise from the fact that, ...