fraud
![Brian Piercy](data:image/svg+xml;utf8,<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="%230A66C2"><path d="M20.447 20.452H16.89v-5.569c0-1.328-.027-3.037-1.852-3.037-1.853 0-2.136 1.445-2.136 2.939v5.667H9.351V9h3.414v1.561h.046c.477-.9 1.637-1.85 3.37-1.85 3.601 0 4.267 2.37 4.267 5.455v6.286zM5.337 7.433a1.982 1.982 0 1 1 0-3.964 1.982 1.982 0 0 1 0 3.964zm1.782 13.019H3.555V9h3.564v11.452zM22.225 0H1.771C.792 0 0 .774 0 1.729v20.542C0 23.227.792 24 1.771 24h20.451C23.2 24 24 23.227 24 22.271V1.729C24 .774 23.2 0 22.222 0h.003z"/></svg>)
In medical education we have a concept called longitudinal care - interns and residents need to follow a case through to its conclusion, or at least long term, so that can learn the entire process. This is why on-call work hours used to be so horrifically long (up to 36 hours), to allow doctors in
The actual queries I run when I'm hunting fraud in transaction data. Velocity, impossible distances, suspicious amounts, merchant clusters, off-hours buys, and window functions.
The financial industry has paid tens of billions of dollars in tuition on fraud detection. Here are some observations for investigators with badges, press cards, or GoPros.
Mastercard's Decision Intelligence Pro uses recurrent neural networks to analyze 160 billion yearly transactions in under 50 milliseconds, delivering precise fraud risk scores at 70,000 transactions per second during peak periods.
New technology and old tactics have made buying a car a death march of deception. Jase Patrick, who spent 15 years in the business, reveals the dealer secrets.
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Over the course of two years, four brothers allegedly swindled Amazon out of at least $19 million using $94 toothbrushes and other expensive goods.
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Botmasters have created a Kafkaesque system where companies are paying huge sums to show their ads to bots. And everyone is fine with this.