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Wednesday, October 14 • 15:30 - 16:00
Recommender systems in anomaly detection

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Recommender systems were developed to efficiently target customers with the best personalized offers, but there are several use cases in different fields where their usage could be beneficial. Anomaly detection is among these fields. A good recommender system can show what patterns are usual, so at the same time it is able to detect behaviours which are extremely unlikely. In the presentation I will show some ways to detect anomalous activities and identify outlier entities using a recommender system built on user activities. 

avatar for Windhager-Pokol Eszter

Windhager-Pokol Eszter

Data Scientist, Balabit
Eszter Windhager-Pokol is data scientist at BalaBit developing a machine learning driven IT security tool, Blindspotter. Eszter has 7 years of experience in supporting data driven decision making and 4 years' research experience in collaborative filtering. She lead several data mining... Read More →

Wednesday October 14, 2015 15:30 - 16:00 CEST
Mátyás II.