Up a level |

Number of items: **12**.

Zhou, Linfei (2018): Indexing and knowledge discovery of gaussian mixture models and multiple-instance learning. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Ye, Wei (2018): Data mining using concepts of independence, unimodality and homophily. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Zherdin, Andrew (2016): Efficient data mining algorithms for time series and complex medical data. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Feng, Jing (2015): Information-theoretic graph mining. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

He, Xiao (2014): Multi-purpose exploratory mining of complex data. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Mai, Son (2014): Density-based algorithms for active and anytime clustering. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Müller, Nikola (2012): Finding correlations and independences in omics data. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Wackersreuther, Bianca (2011): Efficient Knowledge Extraction from Structured Data. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Shao, Junming (2011): Synchronization Inspired Data Mining. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Haegler, Katrin (2011): Similarity Search in Medical Data. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Oswald, Annahita (2011): Coping with new Challenges in Clustering and Biomedical Imaging. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Achtert, Elke (2007): Hierarchical Subspace Clustering. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics