Title
FoodBroker - Generating Synthetic Datasets for Graph-Based Business Analytics
Abstract
We present FoodBroker, a new data generator for bench-marking 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. For benchmarking data integration, the generated data is stored in two interrelated databases. The dataset can be arbitrarily scaled and allows comprehensive graph-and pattern-based analysis.
Year
DOI
Venue
2014
10.1007/978-3-319-20233-4_13
Lecture Notes in Computer Science
Keywords
DocType
Volume
Synthetic data generation,Benchmarks,Graph data management,Business intelligence
Conference
8991
ISSN
Citations 
PageRank 
0302-9743
3
0.41
References 
Authors
12
4
Name
Order
Citations
PageRank
André Petermann1516.17
Martin Junghanns2505.48
Robert Müller38229.66
Erhard Rahm47415655.09