Detecting Bitcoin Fraud with Graphs

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We are partnering with Data Women (https://www.meetup.com/Data-Women/events/241988968/)MeetUp for this event.

About this event

Analyzing any financial network for thieves and illegal activities is essential. These activities are anomalies that exists in a network in the form of fraudulent/suspicious transactions. Our goal is to perform anomaly detection to detect suspicious users and transactions in the Bitcoin Transaction network to prevent further illegal actions. This analysis could be used in detecting fraud in any kind of financial network.

Join us for a presentation and lively discussion on ways anomaly detection can be done in a graph dataset using graph database like Neo4j.

Agenda

6pm - 6:30pm: Networking + Refreshments courtesy of Neo4j

6:30pm - 7:30pm: Presentation + Q&A

7:30 - 8pm: Networking

About the speaker

Vasanti Mahajan is a passionate Data Scientist specializing in Deep Learning. She is intrigued about using her statistical and mathematical knowledge to build machines that can replicate human intelligence.