How graph technologies can help platforms detect fraud
By TechCircle - May 8, 2022
Explore: Cyber Fraud fraud analytics fraud detection India
Pandora Papers: Über 600 Journalisten durchsuchten 2,94 Terabyte an Daten
By Heise - October 4, 2021
Explore: AML financial fraud fraud analytics fraud detection icij investigative journalism investigative reporting Pandora Papers
Graph Algorithms in Neo4j: Louvain Modularity
By Jocelyn Hoppa
March 18, 2019 5 mins read
Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →
Explore: community detection algorithms cypher detecting communities fraud analytics graph algorithms Graph Analytics intelligent solutions Louvain Modularity neo4j Social Networks
Stop Fraud Rings in Their Tracks with Graph Databases [Infographic]
By Bryce Merkl Sasaki
May 16, 2016 < 1 min read
Fraud rings are big business. First-party bank fraud costs banks (and their customers) over $16 billion each year in the United States, and insurance fraud costs nearly $80 billion annually. And fraud rings organized around ecommerce fraud rack up nearly… Read more →
Explore: bank fraud ecommerce fraud fraud analytics fraud detection Fraud Rings Graph Databases infographic Insurance Fraud neo4j organized fraud