Follow the Money - Analyzing the FinCEN Files with Graph Data Science
Algorithms
• October 2020
Follow the Money - Analyzing the FinCEN Files with Graph Data Science
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About
Follow the Money - Analyzing the FinCEN Files with Graph Data Science
About
The ICIJ recently published a big investigation of 83 journalists covering 2 trillion dollars of money flowing through big banks which were filed as Suspicious Activity Reports with the US Treasury, using Neo4j besides other tools. Some of the data was published, so that we can start looking at the players and transactions using a graph database, but even more interesting is applying graph data science to the dataset. With graph algorithms and machine learning (embeddings) we want to see if we can read between the lines of the raw data. Join me for this interesting investigative journey.
Language
English
Level
Beginner
Length
31 minutes
Type
online conference
About the speaker
About the speaker
Michael Hunger
Head of Developer Relations Engineering •
Neo4j, Inc.
Michael Hunger has been passionate about software development for more than 25 years.
For the last few years, he has been working on the open source Neo4j graph database filling many roles. As caretaker of the Neo4j community and ecosystem he especially loves to work with graph-related projects, users, and contributors.
As a developer Michael enjoys many aspects of programming languages, learning new things every day, participating in exciting and ambitious open source projects and contributing and writing software related books and articles. Michael spoke at numerous conferences and helped
Details
Language
English
Level
Beginner
Length
31 minutes
Type
online conference
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