On Pattern Mining in Graph Data to Support Decision-Making

• Diplom-Ingenieur (FH) André Petermann
• 29/01/2019
• University of Leipzig, room P702

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