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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 ...

HICSS-57: Process mining using Electronic Health Records data - quo vadis? Reflections from observing nurses' activities and data registration behavior Hasselt University

Niels MARTIN
Business Informatics
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 ...

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.

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

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 ...

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 ...

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 ...

Formalizing Subjective Interestingness in Exploratory Data Mining Ghent University

Tijl De Bie
Department of Electronics and information systems, University of Bristol

The rate at which research labs, enterprises and governments accumulate data is high and fast increasing. Often, these data are collected for no specific purpose, or they turn out to be useful for unanticipated purposes: Companies constantly look for new ways to monetize their customer databases; Governments mine various databases to detect tax fraud; Security agencies mine and cross-associate numerous heterogeneous information streams from ...