German English

M. Junghanns's Publikationen (18)

PDF
further information
Google Scholar
Rost, C; Gomez, K; Taeschner, M; Fritzsche, P; Schons, L; Christ, L; Adameit, T; Junghanns, M; Rahm, E
Distributed temporal graph analytics with GRADOOP
VLDB Journal 2021 Special Issue Paper
2021-05

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
PDF

Google Scholar
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
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
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