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Neue Publikationen
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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M. Kießling's Publikationen (3)
Junghanns, Martin
;
Kießling, Max
;
Teichmann, Niklas
;
Gomez, Kevin
;
Petermann, Andre
;
Rahm, Erhard
Declarative and distributed graph analytics with GRADOOP
PVLDB
2018-08
Green, Alastair
;
Junghanns, Martin
;
Kießling, Max
;
Lindaaker, Tobias
;
Plantikow, Stefan
;
Selmer, Petra
openCypher: New Directions in Property Graph Querying
Proc. EDBT (tutorial paper)
2018-03
Junghanns, M.
;
Kießling, M.
;
Averbuch, A.,
;
Petermann, A.
;
Rahm, E.
Cypher-based Graph Pattern Matching in Gradoop
Proc. ACM SIGMOD workshop on Graph Data Management Experiences and Systems (GRADES)
2017-05