Travelled to:1 × Canada
1 × United Kingdom
2 × China
4 × USA
Collaborated with:T.Seidl I.Assent S.Günnemann K.Böhm I.Färber R.Krieger M.Schiffer B.Perozzi L.Akoglu P.I.Sanchez F.Keller A.Wixler H.V.Nguyen J.Vreeken P.Efros T.Jansen
Talks about:subspac (8) cluster (6) outlier (4) dimension (2) densiti (2) analysi (2) detect (2) evalu (2) adapt (2) high (2)
Person: Emmanuel Müller
DBLP: M=uuml=ller:Emmanuel
Contributed to:
2014
2014
2013201120102009
200920082008Wrote 10 papers:
- ICML-c2-2014-NguyenMVEB #analysis #correlation #multi
- Multivariate Maximal Correlation Analysis (HVN, EM, JV, PE, KB), pp. 775–783.
- KDD-2014-PerozziASM #clustering #detection #graph #scalability
- Focused clustering and outlier detection in large attributed graphs (BP, LA, PIS, EM), pp. 1346–1355.
- CIKM-2013-KellerMWB #adaptation #analysis #flexibility
- Flexible and adaptive subspace search for outlier analysis (FK, EM, AW, KB), pp. 1381–1390.
- CIKM-2011-GunnemannFMAS #clustering #evaluation #metric
- External evaluation measures for subspace clustering (SG, IF, EM, IA, TS), pp. 1363–1372.
- CIKM-2011-MullerAGS #clustering #scalability
- Scalable density-based subspace clustering (EM, IA, SG, TS), pp. 1077–1086.
- CIKM-2010-MullerSS #adaptation #ranking
- Adaptive outlierness for subspace outlier ranking (EM, MS, TS), pp. 1629–1632.
- CIKM-2009-GunnemannMFS #concept #detection #orthogonal
- Detection of orthogonal concepts in subspaces of high dimensional data (SG, EM, IF, TS), pp. 1317–1326.
- VLDB-2009-MullerGAS #clustering
- Evaluating Clustering in Subspace Projections of High Dimensional Data (EM, SG, IA, TS), pp. 1270–1281.
- CIKM-2008-AssentKMS #clustering #named #performance
- EDSC: efficient density-based subspace clustering (IA, RK, EM, TS), pp. 1093–1102.
- KDD-2008-MullerAKJS #clustering #interactive #named
- Morpheus: interactive exploration of subspace clustering (EM, IA, RK, TJ, TS), pp. 1089–1092.