In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

Robust estimation and outlier detection play a critical role in modern data analysis, particularly when dealing with high-dimensional datasets. In such contexts, classical statistical methods often ...

Within the finance industry, detecting rare events — or anomalies — in data is key to solving business problems that can have high monetary costs such as financial crimes detection and risk modeling.

Citigroup is going global with an artificial-intelligence backed tool that helps giant corporations and governments flag aberrant or suspicious payments. The bank started piloting its Citi Payment ...

Community detection, which aims to cluster N nodes in a given graph into r distinct groups based on the observed undirected edges, is an important problem in network data analysis. In this paper, the ...