Evaluating a Fraud Detection Using Cost-Sensitive Predictive Analytics

A credit card fraud detection algorithm consists in identifying those transactions with a high probability of being fraudulent based on historical fraud patterns. The use of predictive modeling/machine learning in fraud detection has been a topic of interest in recent years. Different detection systems based on machine learning techniques have been successfully used for this problem,... Continue Reading →

Feature Engineering for Fraud Detection Models

As cybercriminals are constantly updating their strategies to avoid being detected, traditional fraud detection tools, such as expert rules, are less effective as they do not incorporate recent fraud patterns as fast as the fraudsters are changing their behavior. To incorporate the fraudulent behavior fast, it is important to use advanced machine learning algorithms, such as... Continue Reading →

Fraud Detection with Advanced Outlier Detection Algorithms

Fraud Detection with Advanced Outlier Detection Algorithms Online fraud costs the global economy more than $400 billion, with more than 800 million personal records stolen in 2013 alone. Increasingly, fraud has diversified to different digital channels, including mobile and online payments, creating new challenges as innovative fraud patterns emerge. One technique organizations use to detect and prevent... Continue Reading →

Hello! Let Me Introduce Myself 

Hello! Let Me Introduce Myself As one of the newest employees at Easy Solutions, I’d like to take this opportunity to introduce myself. I am joining the Company as a Data Scientist. Before becoming part of Easy Solutions, I spent my time working at SIX Financial Service ... [Read more]

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