The Detection of Organized Fraud via SNA | KNIME
Summary
These traditional methods need to be enhanced; the application of network-based solutions creates a great opportunity to detect relations between any participants of a claim file and blacklisted fraud individuals and organizers. In this webinar, we will summarize investigating a claim file participant for organized fraud connections using KNIME network nodes with a shortest path algorithm combined with a rule set and ML fraud detection algorithms. With 30 years of Information Technology experience and knowledge of the banking and insurance industries, he has taken on important roles in a wide range of projects including Software and API Development Platforms and Methodologies, Mobility, Big Data, Business Intelligence, Compliance, Cloud Computing, Robotic Process Automation (RPA) and Machine Learning and Artificial Intelligence (AI). Vedat Güneş – BI and Analytics Manager - Anadolu Sigorta After earning his degree in engineering from Marmara University in 2005, he began his career as a software developer. With 10 years of experience in BI, DW, ETL, ML and AI projects; he has been served as Chief Data Analytics architect since 2018 at Anadolu Sigorta.
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