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ORCIDAndré Petermann
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2010 – 2019
- 2019
[b1]André Petermann:
On Pattern Mining in Graph Data to Support Decision-Making. Leipzig University, Germany, 2019- 2018
- [j3]Martin Junghanns, Max Kießling, Niklas Teichmann, Kevin Gómez, André Petermann, Erhard Rahm
:
Declarative and distributed graph analytics with GRADOOP. Proc. VLDB Endow. 11(12): 2006-2009 (2018) - [c12]Giacomo Bergami, André Petermann, Danilo Montesi:
THoSP: an algorithm for nesting property graphs. GRADES/NDA@SIGMOD/PODS 2018: 8:1-8:10 - 2017
- [c11]André Petermann, Martin Junghanns, Erhard Rahm:
DIMSpan: Transactional Frequent Subgraph Mining with Distributed In-Memory Dataflow Systems. BDCAT 2017: 237-246 - [c10]Martin Junghanns, André Petermann, Erhard Rahm:
Distributed Grouping of Property Graphs with Gradoop. BTW 2017: 103-122 - [c9]Stephan Kemper, André Petermann, Martin Junghanns:
Distributed FoodBroker: Skalierbare Generierung graphbasierter Geschäftsprozessdaten. BTW (Workshops) 2017: 105-110 - [c8]Martin Junghanns, André Petermann, Niklas Teichmann, Erhard Rahm:
The Big Picture: Understanding large-scale graphs using Graph Grouping with Gradoop. BTW 2017: 629-632 - [c7]Martin Junghanns, Max Kießling, Alex Averbuch, André Petermann, Erhard Rahm:
Cypher-based Graph Pattern Matching in Gradoop. GRADES@SIGMOD/PODS 2017: 3:1-3:8 - [c6]Andre Petermann, Giovanni Micale, Giacomo Bergami, Alfredo Pulvirenti, Erhard Rahm:
Mining and ranking of generalized multi-dimensional frequent subgraphs. ICDIM 2017: 236-245 - [c5]André Petermann:
Graph Pattern Mining for Business Decision Support. PhD@VLDB 2017 - [p1]Martin Junghanns, André Petermann, Martin Neumann, Erhard Rahm:
Management and Analysis of Big Graph Data: Current Systems and Open Challenges. Handbook of Big Data Technologies 2017: 457-505 - [i2]André Petermann, Martin Junghanns, Erhard Rahm:
DIMSpan - Transactional Frequent Subgraph Mining with Distributed In-Memory Dataflow Systems. CoRR abs/1703.01910 (2017) - 2016
- [j2]André Petermann, Martin Junghanns:
Scalable business intelligence with graph collections. it Inf. Technol. 58(4): 166-175 (2016) - [c4]André Petermann, Martin Junghanns, Stephan Kemper, Kevin Gómez, Niklas Teichmann, Erhard Rahm:
Graph Mining for Complex Data Analytics. ICDM Workshops 2016: 1316-1319 - [c3]Martin Junghanns, André Petermann, Niklas Teichmann, Kevin Gómez, Erhard Rahm:
Analyzing extended property graphs with Apache Flink. NDA@SIGMOD 2016: 3:1-3:8 - 2015
- [i1]Martin Junghanns, André Petermann, Kevin Gómez, Erhard Rahm:
GRADOOP: Scalable Graph Data Management and Analytics with Hadoop. CoRR abs/1506.00548 (2015) - 2014
- [j1]Andre Petermann, Martin Junghanns, Robert Müller, Erhard Rahm:
Graph-based Data Integration and Business Intelligence with BIIIG. Proc. VLDB Endow. 7(13): 1577-1580 (2014) - [c2]Andre Petermann, Martin Junghanns, Robert Müller, Erhard Rahm:
BIIIG: Enabling business intelligence with integrated instance graphs. ICDE Workshops 2014: 4-11 - [c1]André Petermann, Martin Junghanns, Robert Müller, Erhard Rahm:
FoodBroker - Generating Synthetic Datasets for Graph-Based Business Analytics. WBDB 2014: 145-155
Coauthor Index
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