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Travelled to:
1 × United Kingdom
2 × China
2 × USA
Collaborated with:
T.Seidl I.Färber E.Müller I.Assent C.Faloutsos B.Boden N.Günnemann W.Gatterbauer D.Koutra M.Rüdiger H.Hoffmann K.Virochsiri H.Kremer
Talks about:
subspac (8) cluster (8) project (4) data (4) multi (3) dimension (2) concept (2) detect (2) correl (2) model (2)

Person: Stephan Günnemann

DBLP DBLP: G=uuml=nnemann:Stephan

Contributed to:

VLDB 20152015
KDD 20142014
CIKM 20122012
KDD 20122012
CIKM 20112011
VLDB 20102010
CIKM 20092009
VLDB 20092009

Wrote 12 papers:

VLDB-2015-GatterbauerGKF
Linearized and Single-Pass Belief Propagation (WG, SG, DK, CF), pp. 581–592.
KDD-2014-GunnemannFRS #clustering #multi #named
SMVC: semi-supervised multi-view clustering in subspace projections (SG, IF, MR, TS), pp. 253–262.
KDD-2014-GunnemannGF #detection #evolution #probability #rating #robust
Detecting anomalies in dynamic rating data: a robust probabilistic model for rating evolution (SG, NG, CF), pp. 841–850.
CIKM-2012-BodenGS #clustering #evolution #graph
Tracing clusters in evolving graphs with node attributes (BB, SG, TS), pp. 2331–2334.
KDD-2012-BodenGHS #graph #mining #multi
Mining coherent subgraphs in multi-layer graphs with edge labels (BB, SG, HH, TS), pp. 1258–1266.
KDD-2012-GunnemannFS #clustering #modelling #multi #using
Multi-view clustering using mixture models in subspace projections (SG, IF, TS), pp. 132–140.
KDD-2012-GunnemannFVS #clustering #correlation
Subspace correlation clustering: finding locally correlated dimensions in subspace projections of the data (SG, IF, KV, TS), pp. 352–360.
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.
VLDB-2010-GunnemannFKS #clustering #concept #interactive #named
CoDA: Interactive Cluster Based Concept Discovery (SG, IF, HK, TS), pp. 1633–1636.
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.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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