Michael Geilke

About me

I studied computer science at the TU Kaiserslautern and worked, alongside my studies, as a student assistant at the DFKI. For my master's thesis, I spent one semester in Canada and did my research in the group of Prof. Dr. Sandra Zilles. I received my PhD from the Johannes Gutenberg University in Mainz, where I worked 6 years in the group Data Mining of Prof. Dr. Stefan Kramer. My research interests include density estimation, classifier chains, data streams, data mining, pattern mining, causal discovery, pattern languages.

Contact

Email	user:me, provider:michael-geilke.org
Social	Linkedin, ReseachGate, Google Scholar, DBLP

Publications

• Michael Geilke, Andreas Karwath, Eibe Frank and Stefan Kramer
  Online Estimation of Discrete, Continuous, and Conditional Joint Densities using Classifier Chains
  In: Data Mining and Knowledge Discovery, 32(3), pages 561-603, Springer 2018.
• Michael Geilke
  Online Density Estimates: A Probabilistic Condensed Representation of Data for Knowledge Discovery (PhD thesis)
  Johannes Gutenberg University Mainz, Germany, 2017.
• Michael Geilke and Stefan Kramer
  Privacy-Preserving Pattern Mining on Online Density Estimates
  In: Proceedings of the ICBK 2017, IEEE 2017.
• Michael Geilke, Andreas Karwath, and Stefan Kramer
  Online Density Estimation of Heterogeneous Data Streams in Higher Dimensions
  In: Proceedings of the ECML-PKDD 2016, pages 65-80, Springer 2016.
• Michael Geilke, Andreas Karwath, and Stefan Kramer
  Modeling Recurrent Distributions in Streams using Possible Worlds
  In: Proceedings of the DSAA 2015, pages 1-9, IEEE 2015.
• Michael Geilke, Andreas Karwath, and Stefan Kramer
  A Probabilistic Condensed Representation of Data for Stream Mining
  In: Proceedings of the DSAA 2014, pages 297-303, IEEE 2014.
• Michael Geilke, Andreas Karwath, Eibe Frank, and Stefan Kramer
  Online Estimation of Discrete Densities
  In: Proceedings of the ICDM 2013, pages 191-200, IEEE 2013.
• Michael Geilke and Sandra Zilles
  Polynomial-Time Algorithms for Learning Typed Pattern Languages
  In: Proceedings of the LATA 2012, pages 277-288, Springer 2012.
• Michael Geilke and Sandra Zilles
  Learning Relational Patterns
  In: Proceedings of the ALT 2011, pages 84-98, Springer 2011.