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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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A. Petermann's Publications (21)
Petermann, A.
On Pattern Mining in Graph Data to Support Decision-Making
Dissertation, Univ. Leipzig
2019
Junghanns, Martin
;
Kießling, Max
;
Teichmann, Niklas
;
Gomez, Kevin
;
Petermann, Andre
;
Rahm, Erhard
Declarative and distributed graph analytics with GRADOOP
PVLDB
2018-08
Bergami, G.
;
Petermann, A.
;
Montesi, D.
THoSP: an Algorithm for Nesting Property Graphs
Proc. ACM SIGMOD Workshop on Graph Data Management Experiences & Systems and Network Data Analytics (GRADES-NDA)
2018-06
Petermann, A.
;
Junghanns, M.
;
Rahm, E.
;
DIMSpan - Transactional Frequent Subgraph Mining with Distributed In-Memory Dataflow Systems
Proc. Int. Conf. on Big Data Computing, Applications and Technologies (BDCAT) 2017, pp 237-246
2017-12
Petermann, A.
;
Micale, G.
;
Bergami, G.
;
Pulvirenti, A.
;
Rahm, E.
;
Mining and Ranking of Generalized Multi-Dimensional Frequent Subgraphs
Proc. International Conference on Digital Information Management (ICDIM) 2017
2017-09
Petermann, A.
Graph Pattern Mining for Business Decision Support
VLDB PhD Workshop 2017
2017-08
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
Junghanns, M.
;
Petermann, A.
;
Rahm, E.
;
Distributed Grouping of Property Graphs with GRADOOP
Proc. Datenbanksysteme für Business, Technologie und Web (BTW) 2017
2017-03
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
Kemper, S.
;
Petermann, A.
;
Junghanns, M.
Distributed FoodBroker: Skalierbare Generierung graphbasierter Geschäftsprozessdaten.
Proc. Datenbanksysteme für Business, Technologie und Web (BTW) 2017 (Workshops)
2017-03
Junghanns, Martin
;
Petermann, Andre
;
Neumann, Martin
;
Rahm, Erhard
Management and Analysis of Big Graph Data: Current Systems and Open Challenges
In: Handbook of Big Data Technologies (eds.: A. Zomaya, S. Sakr) , Springer 2017, to appear
2017-02
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.
Verteilte Graphanalyse mit Gradoop
JavaSPEKTRUM 05/2016
2016-10
Petermann, A.
;
Junghanns, M.
Scalable Business Intelligence with Graph Collections
it - Information Technology, Special Issue: Big Data Analytics, Vol. 58 (4), 2016, pp. 166–175
2016-08
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
Junghanns, M.
;
Petermann, A.
;
Gomez, K.
;
Rahm, E.
GRADOOP: Scalable Graph Data Management and Analytics with Hadoop
Techn. Report, Univ. of Leipzig, arXiv:1506.00548, June 2015
2015-06
Petermann, A.
;
Junghanns, M.
;
Müller, R.
;
Rahm, E.
Graph-based Data Integration and Business Intelligence with BIIIG
Proc. VLDB Conf., 2014 (Demo paper)
2014-09
Petermann, A.
;
Junghanns, M.
;
Müller, R.
;
Rahm, E.
FoodBroker - Generating Synthetic Datasets for Graph-Based Business Analytics
5th Workshop on Big Data Benchmarking (WBDB 2014), LNCS 8991, 2015
2014-08
Petermann, A.
;
Junghanns, M.
;
Müller, R.
;
Rahm, E.
BIIIG : Enabling Business Intelligence with Integrated Instance Graphs
5th International Workshop on Graph Data Management (GDM 2014)
2014-03