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Recent publications
Privacy-Preserving Stress Detection Using Smartwatch Health Data
Privacy-Preserving Sentiment Analysis on Twitter
Using Differential Equation Inspired Machine Learning for Valve Faults Prediction
Privacy at Risk: Exploiting Similarities in Health Data for Identity Inference
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N. Teichmann's Publications (5)
Junghanns, Martin
;
Kießling, Max
;
Teichmann, Niklas
;
Gomez, Kevin
;
Petermann, Andre
;
Rahm, Erhard
Declarative and distributed graph analytics with GRADOOP
PVLDB
2018-08
Junghanns, M.
;
Petermann, A.
;
Teichmann, N.
;
Rahm, E.
;
The Big Picture: Understanding large-scale graphs using Graph Grouping with GRADOOP
Proc. Datenbanksysteme für Business, Technologie und Web (BTW) 2017 (Demo paper)
2017-03
Petermann, A.
;
Junghanns, M.
;
Kemper, S.
;
Gomez, K.
;
Teichmann, N.
;
Rahm, E.
;
Graph Mining for Complex Data Analytics
Proc. ICDM 2016 (Demo paper)
2016-12
Junghanns, M.
;
Petermann, A.
;
Teichmann, N.
;
Gomez, K.
;
Rahm, E.
Analyzing Extended Property Graphs with Apache Flink
Proc. Int. SIGMOD workshop on Network Data Analytics (NDA)
2016-07