In this method's approach, we first define transaction sums for all related entities and normalize sums with the total transactions sum. In such way this method defines a comparison baseline. Then, it takes transactions between entities and sums them into a predefined number of periods. For each period partial sums weights are compared to the baseline weights and anomalies are identified. The more anomalous a company behaves the higher it ranks on the anomalous list. The purpose of the method is to identify the biggest changes within the series of accumulated periods.

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Jožef Stefan Institute
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Slovenian procurement data
Slovenian transaction data

TheyBuyForYou has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 780247.

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