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Mirko Böttcher
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2010 – 2019
- 2013
- [b1]Mirko Böttcher:
On utilising change over time in data mining. Otto von Guericke University Magdeburg, 2013 - 2011
- [j3]Mirko Böttcher:
Contrast and change mining. WIREs Data Mining Knowl. Discov. 1(3): 215-230 (2011)
2000 – 2009
- 2009
- [j2]Mirko Böttcher, Martin Spott, Detlef D. Nauck, Rudolf Kruse:
Mining changing customer segments in dynamic markets. Expert Syst. Appl. 36(1): 155-164 (2009) - [c8]Mirko Böttcher, Martin Spott, Rudolf Kruse:
A Condensed Representation of Itemsets for Analyzing Their Evolution over Time. ECML/PKDD (1) 2009: 163-178 - 2008
- [j1]Mirko Böttcher, Frank Höppner, Myra Spiliopoulou:
On exploiting the power of time in data mining. SIGKDD Explor. 10(2): 3-11 (2008) - [c7]Mirko Böttcher, Martin Spott, Rudolf Kruse:
Predicting Future Decision Trees from Evolving Data. ICDM 2008: 33-42 - [c6]Mirko Böttcher, Martin Spott, Rudolf Kruse:
An Algorithm for Anticipating Future Decision Trees from Concept-Drifting Data. SGAI Conf. 2008: 293-306 - 2007
- [c5]Mirko Böttcher, Martin Spott, Detlef D. Nauck:
A Framework for Discovering and Analyzing Changing Customer Segments. ICDM 2007: 255-268 - [c4]Frank Höppner, Mirko Böttcher:
Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains. PKDD 2007: 479-486 - [c3]Georg Ruß, Detlef D. Nauck, Mirko Böttcher, Rudolf Kruse:
Relevance Feedback for Association Rules by Leveraging Concepts from Information Retrieval. SGAI Conf. 2007: 253-266 - [i1]Frank Höppner, Mirko Böttcher:
Reliably Capture Local Clusters in Noisy Domains From Parallel Universes. Parallel Universes and Local Patterns 2007 - 2006
- [c2]Mirko Böttcher, Detlef D. Nauck, Dymitr Ruta, Martin Spott:
Towards a Framework for Change Detection in Data Sets. SGAI Conf. 2006: 115-128 - 2005
- [c1]Mirko Böttcher, Martin Spott, Detlef D. Nauck:
Detecting temporally redundant association rules. ICMLA 2005
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