ACI Worldwide provides fraud detection services on high volume transaction data streams. In this project, WPI collaborates with ACI Worldwide to explore how this data can be stored in a graph database and then visualized using open-source big data technologies. Using Titan, transaction data is stored as a graph. The graph is then visualized in several fraud- centric display formats with the Vis JavaScript library to provide fraud analysts a unique way of analyzing transactions. Achievements of this project include being able to ingest millions of nodes into a graph database and then displaying portions of the graph using innovative visual displays. Optimizations were made by distributing the system over a six node cluster for faster ingestion and graph query support.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Baia, John A.
• Leondires, Peter A.
• Tapply, Dalton S.
• Martin, Kevin P.

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-032216-181011

Advisor

• Rundensteiner, Elke A.

Year

• 2016

Sponsor

• ACI Worldwide

Date created

• 2016-03-22

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright