Pinned Repositories
1999_Czech_financial_dataset_Teradata
Real world transactions in the years 1993 to 1999 from a Czech bank, modified for loading into Teradata.
AMLSim
The AMLSim project is intended to provide a multi-agent based simulator that generates a series of banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing your machine learning models and graph algorithms. We welcome you to enhance this effort since data set is critical to advance our detection capabilities of money laundering activities .
CRUDClient
Pentaho App Builder - CRUD Client Plugin
enron-email-network-analysis
FlowScope
Implementation code of algorithm described in FlowScope: Spotting Money Laundering Based on Graphs. and thanks for the contribution of the coworkers , i.e. , Shenghua Liu and ZiFeng Li.
gerador-grafo
graphology
A robust & multipurpose Graph object for JavaScript & TypeScript.
MIDAS
Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
neovis.js
Neo4j + vis.js = neovis.js. Graph visualizations in the browser with data from Neo4j.
pixi-graph
Graph visualization library using PIXI.js and Graphology
alex-sousa's Repositories
alex-sousa/1999_Czech_financial_dataset_Teradata
Real world transactions in the years 1993 to 1999 from a Czech bank, modified for loading into Teradata.
alex-sousa/AMLSim
The AMLSim project is intended to provide a multi-agent based simulator that generates a series of banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing your machine learning models and graph algorithms. We welcome you to enhance this effort since data set is critical to advance our detection capabilities of money laundering activities .
alex-sousa/CRUDClient
Pentaho App Builder - CRUD Client Plugin
alex-sousa/enron-email-network-analysis
alex-sousa/FlowScope
Implementation code of algorithm described in FlowScope: Spotting Money Laundering Based on Graphs. and thanks for the contribution of the coworkers , i.e. , Shenghua Liu and ZiFeng Li.
alex-sousa/gerador-grafo
alex-sousa/graphology
A robust & multipurpose Graph object for JavaScript & TypeScript.
alex-sousa/MIDAS
Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
alex-sousa/neovis.js
Neo4j + vis.js = neovis.js. Graph visualizations in the browser with data from Neo4j.
alex-sousa/pixi-graph
Graph visualization library using PIXI.js and Graphology
alex-sousa/sialg
alex-sousa/spartan2-tutorials
alex-sousa/superset
Setup Apache Superset with Postgresql DB, Redis Caching, Nginx Server and SSL
alex-sousa/transactions-graph-generator
Generator for graph of transactions. Is kind of optimized for large graph generations. Contains graph structure generation, nodes information generation (client names, phone numbers, etc...), patterns generation
alex-sousa/WikiBrain
Studying collective memories of internet users using Wikipedia viewership statistics