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Fraud Detection - Using Graph Database

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Graph DBs have become a buzzword in recent years.  In addition to social networks and recommendation systems, fraud detection is a field where the value of graph technology cannot be understated.  In this article we'll learn how Graph technology can be used to detect fraud.  If you are new to Graph technology, and haven't read my previous publication Graph technology in plain english , I highly recommend to read that once. It will help you to understand the fundamentals of Graph technology and serve as a catalyst for your learning process.  Fraud detection According to the research published by Crowe in July 2019, global fraud losses equate to shocking US$5.127 trillion each year . Fraudsters commit monetary frauds almost every day.  What if such fraud can be detected at an early stage, through prior experience of  some common fraud patterns  or known fraudsters.  We'll look at how Graph can be used to identify one such link and how tedious it...

Graph Technology - In plain English

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Graph processi ng systems have become a prominent buzzword in computation world in recent years. Is this just a passing trend which is here today and would vanish tomorrow? There is no harm in being skeptical. But with knowledge graphs recognized as a top emerging technology trend by industry expert Gartner, it's evident that graph technology is here to stay.  So let's dive in and discover what makes graph technology special and why it's gaining momentum.   What industry experts are saying about Graph Technology: Knowledge graphs has been recognized by Gartner among the top 5 emerging technology trends, alongside IOT & Blockchain, that will blur the lines between humans and machines. I have included a snippet from Gartner's press release below. You can also find Gartner's official full press release   here  . Snippet from Gartner's Newsroom Press Release  An important note before we proceed further. If you do a simple google search about grap...