Articles with public access mandates - Emmanuel MüllerLearn more
Not available anywhere: 8
Adaptive outlierness for subspace outlier ranking
E Müller, M Schiffer, T Seidl
Proceedings of the 19th ACM international conference on Information and …, 2010
Mandates: German Research Foundation
Detection of orthogonal concepts in subspaces of high dimensional data
S Günnemann, E Müller, I Färber, T Seidl
Proceedings of the 18th ACM conference on Information and knowledge …, 2009
Mandates: German Research Foundation
EDSC: efficient density-based subspace clustering
I Assent, R Krieger, E Müller, T Seidl
Proceedings of the 17th ACM conference on Information and knowledge …, 2008
Mandates: German Research Foundation
HSM: Heterogeneous subspace mining in high dimensional data
E Müller, I Assent, T Seidl
Scientific and Statistical Database Management, 497-516, 2009
Mandates: German Research Foundation
Detecting change processes in dynamic networks by frequent graph evolution rule mining
E Scharwächter, E Müller, J Donges, M Hassani, T Seidl
2016 IEEE 16th International Conference on Data Mining (ICDM), 1191-1196, 2016
Mandates: Federal Ministry of Education and Research, Germany
SOREX: Subspace Outlier Ranking Exploration Toolkit
E Müller, M Schiffer, P Gerwert, M Hannen, T Jansen, T Seidl
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010
Mandates: German Research Foundation
Towards graph representation based re-identification of chipwood pallet blocks
S Klüttermann, J Rutinowski, C Reining, M Roidl, E Müller
2022 21st IEEE International Conference on Machine Learning and Applications …, 2022
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
A near-linear time subspace search scheme for unsupervised selection of correlated features
HV Nguyen, E Müller, K Böhm
Big Data Research 1, 37-51, 2014
Mandates: Research Foundation (Flanders), German Research Foundation
Available somewhere: 36
Deep one-class classification
L Ruff, R Vandermeulen, N Goernitz, L Deecke, SA Siddiqui, A Binder, ...
International conference on machine learning, 4393-4402, 2018
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
HiCS: High contrast subspaces for density-based outlier ranking
F Keller, E Muller, K Bohm
2012 IEEE 28th international conference on data engineering, 1037-1048, 2012
Mandates: German Research Foundation
Evaluating clustering in subspace projections of high dimensional data
E Müller, S Günnemann, I Assent, T Seidl
Proceedings of the VLDB Endowment 2 (1), 1270-1281, 2009
Mandates: German Research Foundation
Focused clustering and outlier detection in large attributed graphs
B Perozzi, L Akoglu, P Iglesias Sánchez, E Müller
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
Mandates: Research Foundation (Flanders), German Research Foundation
DUSC: Dimensionality unbiased subspace clustering
I Assent, R Krieger, E Müller, T Seidl
seventh IEEE international conference on data mining (ICDM 2007), 409-414, 2007
Mandates: German Research Foundation
Ranking outlier nodes in subspaces of attributed graphs
E Müller, PI Sánchez, Y Mülle, K Böhm
2013 IEEE 29th international conference on data engineering workshops (ICDEW …, 2013
Mandates: German Research Foundation
INSCY: Indexing subspace clusters with in-process-removal of redundancy
I Assent, R Krieger, E Müller, T Seidl
2008 Eighth IEEE International Conference on Data Mining, 719-724, 2008
Mandates: German Research Foundation
Outlier ranking via subspace analysis in multiple views of the data
E Müller, I Assent, P Iglesias, Y Mülle, K Böhm
2012 IEEE 12th international conference on data mining, 529-538, 2012
Mandates: German Research Foundation, Danish Council for Independent Research
Relevant subspace clustering: Mining the most interesting non-redundant concepts in high dimensional data
E Müller, I Assent, S Günnemann, R Krieger, T Seidl
2009 Ninth IEEE International Conference on Data Mining, 377-386, 2009
Mandates: German Research Foundation
OutRank: ranking outliers in high dimensional data
E Muller, I Assent, U Steinhausen, T Seidl
2008 IEEE 24th international conference on data engineering workshop, 600-603, 2008
Mandates: German Research Foundation
CMI: An information-theoretic contrast measure for enhancing subspace cluster and outlier detection
HV Nguyen, E Müller, J Vreeken, F Keller, K Böhm
Proceedings of the 2013 SIAM International Conference on Data Mining, 198-206, 2013
Mandates: Research Foundation (Flanders), German Research Foundation
Statistical selection of congruent subspaces for mining attributed graphs
PI Sánchez, E Müller, F Laforet, F Keller, K Böhm
2013 IEEE 13th international conference on data mining, 647-656, 2013
Mandates: German Research Foundation
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