publications

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2018

Geilke, Michael; Karwath, Andreas; Frank, Eibe; Kramer, Stefan

Online estimation of discrete, continuous, and conditional joint densities using classifier chains Journal Article

Data Mining and Knowledge Discovery, 32 (3), pp. 561-603, 2018, ISSN: 1384-5810.

Abstract | Links | BibTeX | Tags: data mining, density estimation, machine learning, stream mining

2016

Geilke, Michael ; Karwath, Andreas ; Kramer, Stefan

Online density estimation of heterogeneous data streams in higher dimensions Conference

Machine learning and knowledge discovery in databases : European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016 : Proceedings Part 1, 2016.

Abstract | Links | BibTeX | Tags: data mining, density estimation, stream mining

2015

Geilke, Michael; Karwath, Andreas; Kramer, Stefan

Modeling recurrent distributions in streams using possible worlds Conference

2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015, IEEE, 2015, ISBN: 978-1-4673-8272-4.

Abstract | Links | BibTeX | Tags: density estimation, machine learning, possible worlds, stream mining

2014

Geilke, Michael; Karwath, Andreas; Kramer, Stefan

A probabilistic condensed representation of data for stream mining Conference

International Conference on Data Science and Advanced Analytics, DSAA 2014, IEEE, 2014.

Abstract | Links | BibTeX | Tags: density estimation, machine learning, stream mining

2013

Geilke, Michael; Frank, Eibe; Karwath, Andreas; Kramer, Stefan

Online Estimation of Discrete Densities Conference

IEEE 13th International Conference on Data Mining, ICDM 2013, IEEE, 2013, ISSN: 1550-4786.

Abstract | Links | BibTeX | Tags: density estimation, machine learning, stream mining