Fraud Detection

This post will provide a quick summary of the key details to get started with isolation forests in scikit-learn and can serve as a platform for your future research. Introduction to the isolation forest algorithm Anomaly detection is a process of finding unusual or abnormal data points in a dataset. It is an important technique for…

Fraud and cyber crimes are running rampant and unabated throughout our global economy. Rogue state or organized cybercriminals continue to plunder millions from companies that fall victim to ransomware, yielding to its threat to lock up or destroy an organization’s database and systems. …

Co-authored with Meghana Negi, Jose Mathew, Jairaj Sathyanarayana 1. Introduction Similar to any e-commerce marketplace, every day, new loopholes are being exploited by fraudsters in hyper-local, online food delivery platforms. Fraudsters exploit business policies and services around food-issue claims, payments, coupons, etc., which have a material impact on the platforms’ bottom line…

Everyone who runs an E-commerce business wants it to be successful but only a few are aware of or use machine learning to their advantage. Adopting Machine Learning in the e-commerce industry is a significant step toward business development. It creates miracles that cannot be measurable by the power of…

Remember a time when it was possible to travel the world with an up-to-date passport that simply validated your identity and sent you on your way? It was easy to undertake an exploration of a world full of random pleasures, surprising beauty, and serendipitous encounters. Today it takes several ever-changing…

What exactly is synthetic identity fraud? Many businesses from casinos, to auto dealerships and other retailers, alike, are heavily impacted by this fast-growing form of fraud. Let’s take a closer look. Synthetic Identity Fraud occurs when a fraudster combines some real identity attributes, such as an illegally obtained — but…

A codeless approach to advanced analytics with KNIME — As first published in InfoQ. Co-author: Rosaria Silipo. With global credit card fraud loss on the rise, it is important for banks, as well as e-commerce companies, to be able to detect fraudulent transactions. Before they are completed. Key takeaways Fraud detection techniques mostly stem from…

Disclaimer: Nothing in this blog is related to the author’s day-to-day work. The content is neither affiliated nor sponsored by any companies. I am not employed by Linkedin. On Linkedin, I believe many of us have received such “please add me to your professional network” requests: job titles like “Technical…