André Petermann

According to our database, André Petermann authored at least 18 papers between 2014 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

On Pattern Mining in Graph Data to Support Decision-Making.

André Petermann

PhD thesis, 2019

2018

Declarative and distributed graph analytics with GRADOOP.

Martin Junghanns, Max Kießling, Niklas Teichmann, Kevin Gómez, André Petermann, Erhard Rahm

Proc. VLDB Endow., 2018

THoSP: an algorithm for nesting property graphs.

Giacomo Bergami, André Petermann, Danilo Montesi

Proceedings of the 1st ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2018

2017

Graph Pattern Mining for Business Decision Support.

André Petermann

Proceedings of the VLDB 2017 PhD Workshop co-located with the 43rd International Conference on Very Large Databases (VLDB 2017), 2017

Mining and ranking of generalized multi-dimensional frequent subgraphs.

Andre Petermann, Giovanni Micale, Giacomo Bergami, Alfredo Pulvirenti, Erhard Rahm

Proceedings of the Twelfth International Conference on Digital Information Management, 2017

Cypher-based Graph Pattern Matching in Gradoop.

Martin Junghanns, Max Kießling, Alex Averbuch, André Petermann, Erhard Rahm

Proceedings of the Fifth International Workshop on Graph Data-management Experiences & Systems, 2017

Distributed FoodBroker: Skalierbare Generierung graphbasierter Geschäftsprozessdaten.

Stephan Kemper, André Petermann, Martin Junghanns

Proceedings of the Datenbanksysteme für Business, 2017

The Big Picture: Understanding large-scale graphs using Graph Grouping with Gradoop.

Martin Junghanns, André Petermann, Niklas Teichmann, Erhard Rahm

Proceedings of the Datenbanksysteme für Business, 2017

Distributed Grouping of Property Graphs with Gradoop.

Martin Junghanns, André Petermann, Erhard Rahm

Proceedings of the Datenbanksysteme für Business, 2017

DIMSpan: Transactional Frequent Subgraph Mining with Distributed In-Memory Dataflow Systems.

André Petermann, Martin Junghanns, Erhard Rahm

Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, 2017

Management and Analysis of Big Graph Data: Current Systems and Open Challenges.

Martin Junghanns, André Petermann, Martin Neumann, Erhard Rahm

Proceedings of the Handbook of Big Data Technologies, 2017

2016

Scalable business intelligence with graph collections.

André Petermann, Martin Junghanns

it Inf. Technol., 2016

Analyzing extended property graphs with Apache Flink.

Martin Junghanns, André Petermann, Niklas Teichmann, Kevin Gómez, Erhard Rahm

Proceedings of the 1st ACM SIGMOD Workshop on Network Data Analytics, 2016

Graph Mining for Complex Data Analytics.

André Petermann, Martin Junghanns, Stephan Kemper, Kevin Gómez, Niklas Teichmann, Erhard Rahm

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

GRADOOP: Scalable Graph Data Management and Analytics with Hadoop.

Martin Junghanns, André Petermann, Kevin Gómez, Erhard Rahm

CoRR, 2015

2014

Graph-based Data Integration and Business Intelligence with BIIIG.

Andre Petermann, Martin Junghanns, Robert Müller, Erhard Rahm

Proc. VLDB Endow., 2014

FoodBroker - Generating Synthetic Datasets for Graph-Based Business Analytics.

André Petermann, Martin Junghanns, Robert Müller, Erhard Rahm

Proceedings of the Big Data Benchmarking - 5th International Workshop, 2014

BIIIG: Enabling business intelligence with integrated instance graphs.

Andre Petermann, Martin Junghanns, Robert Müller, Erhard Rahm

Proceedings of the Workshops Proceedings of the 30th International Conference on Data Engineering Workshops, 2014