Timo Djürken

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Access to real-world database systems and their workloads is an invaluable source of information for database researchers. However, usually such full access is not possible due to tracing overheads, data protection, or legal reasons. In this paper, we present a tool set to analyze and compare synthetic and real-world database workloads, their(More)
E-commerce platforms face the challenge of efficiently and accurately detecting fraudulent activity every day. Manually checking every advertisement for fraud does not scale and is financially unviable. By using automated learning algorithms, we can drastically reduce the number of advertisements that need to be checked by humans. In this paper, we present(More)
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