Refining Reconciliation: A Machine Learning Approach to the Financial Industry’s Toughest Task

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Refining Reconciliation: A Machine Learning Approach to the Financial Industry’s Toughest Task

Article
Posted June 27, 2017 in Business Technology & Digital Transformation Strategies, Data Analytics & Digital Technologies Cutter Business Technology Journal
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In this article, we examine different machine learning mechanisms and propose a maximally specific con­junctive approach to fitting massive data sets in the real world of reconciliation. Furthermore, we provide a balanced solution to address the high skewness in reconciliation data sets.