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Dr. André Petermann

Über mich

  • Diplom-Ingenieur(FH) Medientechnik, 2011 HTWK Leipzig
  • Bachelor of Science Information Technology, 2009 University of the West of Scotland
  • 2009-2014 Softwareentwickler Business Intelligence
  • seit Januar 2013 Doktorand der Abteilung Datenbanken der Universität Leipzig
    (in Kooperation mit dem Fachbereich Medien der HTWK Leipzig)
  • April 2015 bis Dezember 2017 wissenschaftlicher Mitarbeiter der Abteilung Datenbanken der Universität Leipzig
  • Januar 2019 Verteidigung der Dissertation zum Thema “On Pattern Mining in Graph Data to Support Decision-Making”

Kontakt

  • andre[at]biiig.org

Publikationen


further information
Google Scholar
publication iconPetermann, A.
On Pattern Mining in Graph Data to Support Decision-Making
Dissertation, Univ. Leipzig
2019

PDF
Google Scholar
Junghanns, Martin; Kießling, Max; Teichmann, Niklas; Gomez, Kevin; Petermann, Andre; Rahm, Erhard
Declarative and distributed graph analytics with GRADOOP
PVLDB
2018-08


Google Scholar
publication icon 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
PDF

Google Scholar
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
PDF

Google Scholar
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
PDF

Google Scholar
Petermann, A.
Graph Pattern Mining for Business Decision Support
VLDB PhD Workshop 2017
2017-08
PDF

Google Scholar
publication iconJunghanns, 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
PDF

Google Scholar
Junghanns, M.; Petermann, A.; Rahm, E.;
Distributed Grouping of Property Graphs with GRADOOP
Proc. Datenbanksysteme für Business, Technologie und Web (BTW) 2017
2017-03
PDF

Google Scholar
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

PDF
Google Scholar
publication iconKemper, S.; Petermann, A.; Junghanns, M.
Distributed FoodBroker: Skalierbare Generierung graphbasierter Geschäftsprozessdaten.
Proc. Datenbanksysteme für Business, Technologie und Web (BTW) 2017 (Workshops)
2017-03
PDF

Google Scholar
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
PDF

Google Scholar
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

PDF
Google Scholar
publication iconJunghanns, M.; Petermann, A.
Verteilte Graphanalyse mit Gradoop
JavaSPEKTRUM 05/2016
2016-10
PDF

Google Scholar
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
PDF

Google Scholar
publication iconJunghanns, 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
PDF

Google Scholar
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
PDF

Google Scholar
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
PDF

Google Scholar
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
PDF

Google Scholar
publication iconPetermann, 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
Petermann, A.; Schmedes, U.
Verlustloses Mehrkanal-Audiostreaming im Browser
Fernseh- und Kinotechnik 2011/8-9, S. 494-499
2011-08