Many applications, e.g., in biomedicine, the web and sensor networks generate tremendous amounts of data. 
However, having more data not automatically means gaining more knowledge. To exploit the opportunities in Big Data, we need intelligent and efficient algorithms translating the information in data into understandable knowledge.
The research group Data Mining headed by Prof. Dr. Claudia Plant investigates methods comprehensively supporting the process of knowledge discovery from Big Data.

In current research we mainly focus on information-theoretic methods.
In order to make the information in data measurable, we link data mining to data compression. If data contains non-random structure like dependencies or other patterns we can find them with a data mining algorithm. We use the gained knowledge about the found patterns to compress our data. The compression rate is a very general quality measure for data mining. Based on this idea we focus on three central aspects.

  • Generalization of Methods
  • Integration of Data
  • High-performance Data Mining on Modern Hardware

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Team of research group DM

Publications of research group DM

 News

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On 1.5.2020, Dr. Nils Morten Kriege joined our faculty on a tenure track professor-position with his interdisciplinary Data Science project "Algorithmic Data Science for...

Two papers accepted at ECML-PKDD 2020

Two papers have been accepted at ECML-PKDD 2020. The acceptance rate was 19%.

 

Paper accepted at KDD 2020

We are happy to announce that our paper "Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning" has been accepted for presentation at...

Job offer at Data Mining

We are hiring. We are searching for a PhD student with strong interest in data mining.

Prof. Claudia Plant im uni:view Portrait

Die Data-Mining Expertin Claudia Plant wurde im Vorfeld zu ihrer Antrittsvorlesung (Thema: "Auf der Suche nach Wissen im Datenberg") vorgestellt.

"Big Data: Sind wir bereits gläserne Menschen?"

Prof. Claudia Plants Überlegungen zur Semesterfrage "Wie leben wir in der digitalen Zukunft?" auf derstandard.at: Diskutieren Sie mit!

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