Analytics Magazine Analytics Magazine, November/December 2014 - Page 50

real - t ime frau d de t e c t i o n perform. To synthesize, these agents allow multiple tasks to be handled in parallel to enable faster data processing. The above approach combines the strengths and synergies of both cloud computing and machine learning algorithms, providing a small company or even a startup that is unlikely to have specialized staff and necessary infrastructure for what is a computationally intensive approach, the ability to build a system that make decisions based on historical transactions. Creating the Analytical Data Set For the specific use case of fraud detection for financial transactions, consider the following work that Mu Sigma did with a client in the financial services industry. The dat