Tax fraud is a persistent global challenge, with annual losses surpassing USD 1 trillion in corporate tax revenue alone. The ...

The patent obtained by Zhoupu Data focuses on utilizing machine learning technology for business process anomaly detection.

When the 9/11 Commission Report was published in July 2004, it became one of the most sobering documents in modern American ...

To ensure enterprises can fully trust the data fueling their analytics and AI deployments, Anomalo has defined the Six Pillars of Data Quality: ...

Abstract: Anomaly detection is a critical task in cybersecurity, aimed at safeguarding against cyber threats by identifying unusual or harmful activity within network frameworks. In this context, ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, thus ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...