Lehr- und Forschungseinheit für Datenbanksysteme

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Topics – Forschungsthemen

Explorative Data Analytics

  • Subspace clustering, multi-view clustering, correlation clustering and concept extraction
  • Semi-supervised clustering, constraints models
  • Clustering for heterogeneous and complex objects
  • Outlier detection
  • Interactive data mining, incremental mining, Visual Analytics

Frameworks and Computation Models for Data Mining

  • Cloud Architectures, MapReduce, Apache Flink, Apache Spark, Pregel, Giraph
  • Deep learning, GPU computing
  • Data Mining frameworks (ELKI, ELKI@LMU, MOA)
  • Embedded analytics

Data Mining for Complex Objects

  • Spatio-temporal objects, graphs and networks, multimedia
  • Community detection in attributed networks and hypergraphs
  • Trajectory analysis, network queries, geo-social analytics, skylines for trajectories
  • Interval pattern mining
  • Uncertain data, probabilistic representations, data provenance
  • Games and sports analytics

Process Mining

  • Temporal aspects in process models
  • Clustering for process mining, event identification
  • Quality aspects in process model identification
  • Stream process mining, concept drift, online learning

Similarity Search and Data Mining

  • Similarity models for images, videos, shapes
  • Partial similaritry search and invariances for mining complex objects
  • Metric learning, feature engineering
  • Metric and Ptolemaic indexing, lower bounding for multi-step query processing

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