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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Paper accepted at ICDE 2020

We are proud to announce that our paper "Hierarchical Quick Shift Guided Recurrent Clustering" has been accepted at the ICDE conference (ranked A*)

Paper accepted at ICDM 2019

We are proud to announce that our paper "Deep Embedded Cluster Tree" has been accepted at the ICDM 2019 conference.

Paper accepted at SIGMOD 2019

We are proud to anounce that our paper "Cache-oblivious High-performance Similarity Join" is accepted at the valuable SIGMOD conference.

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 Diskutieren Sie mit!

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