Corporate managers will never be able to make good, informed decisions based solely on data. But — if formatted properly to provide knowledge and insight — data can facilitate complex business ...

The typical all-source intelligence analyst must generate products that result from the fusion and correlation of structured and unstructured text reporting with sensor and imagery data sources. This ...

This article presents and compares two approaches of principal component (PC) analysis for two-dimensional functional data on a possibly irregular domain. The first approach applies the singular value ...

Originally the "Statistical Analysis System," the SAS System is an integrated set of data management and decision support tools from the SAS Institute that runs on platforms from PCs to mainframes. It ...

ABSTRACT The process of obtaining key information on climate variability and change from large climate datasets often involves large computational costs and removal of noise from the data. In this ...

This pie chart illustrates the distribution of visualization tools in the FigureYa resource package across three dimensions: research type (outer ring), analysis method (middle ring), and output ...

The cryptocurrency market, characterised by its volatility and complexity, presents unique challenges in risk identification and management. Traditional analytical methods often fail to capture the ...