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


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"Informatik sollte Pflichtschulfach sein"

Ohne digitale Bildung verlieren wir in Österreich den Anschluss an die Automatisierungsgesellschaft. Das prognostizieren die Data Scientists Claudia Plant und ihre...

Prof. Plant im uni:view-Kurzporträt

Frau Prof. Claudia Plant wurde mit 1. Jänner 2016 als Professorin für Data Mining an die Fakultät für Informatik berufen. Die Leiterin der neuen Forschungsgruppe im...

"Schatzsuche im Datenberg"

Frau Prof. Claudia Plant leitet seit 1. Jänner 2016 die Forschungsgsruppe Data Mining an der Fakultät für Informatik der Universität Wien. Die Tageszeitung Die Presse hat sie...

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