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FoodBroker - Generating Synthetic Datasets for Graph-Based Business Analytics

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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

Description

We present FoodBroker, a new data generator for benchmarking graph-based business intelligence systems and approaches. It covers two realistic business processes and their involved master and transactional data objects. The interactions are correlated in controlled ways to enable non-uniform distributions for data and relationships. The generated dataset can be arbitrarily scaled and allows comprehensive graph- and pattern-based analysis.