Detecting external fraud can be compared to finding a needle in a haystack: The fraudulent event is the needle; finding requires sifting through a heterogeneous data universe—the haystack. Read this white paper to find out how you can use MATLAB® to automate identification and classification of anomalous behavior and strengthen your ability to respond to fraud in real time.

“For me, MATLAB is the best tool for rapid quantitative analysis. I can analyze large data sets, visualize results, and automate the process once I’ve validated it. Building a complete execution analysis system from scratch in Java or a similar language would take months longer.”

Shelly Shi, Liquidnet

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