"Charts are not just for aesthetics; they are meant to help the brain understand data faster." " The same data represented in ...

Probabilistic graphs and uncertain data analysis represent a rapidly evolving research domain that seeks to reconcile the inherent imprecision of real-world data with robust computational models ...

In the data-driven era, data analysis has become a core skill across various industries. Python, with its inherent advantages ...

A new open-source library by Nvidia could be the secret ingredient to advancing analytics and making graph databases faster. The key: parallel processing on Nvidia GPUs.

Why is data visualization so important in statistics, anyway? Graphs and other kinds of visualizations might seem superfluous, if you’re using statistical analysis to look for patterns in a data ...

We introduce the BioMedical Evidence Graph (BMEG), a graph database and query engine for discovery and analysis of cancer biology. The BMEG is unique from other biologic data graphs in that ...

Paramjit S. Gill, Tim B. Swartz, Bayesian Analysis of Directed Graphs Data with Applications to Social Networks, Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 53, No. 2 ...

Graph-based data models have become central to modern machine learning and artificial intelligence applications, and are now widely used by data analysts in applications as diverse as marketing to ...

Graphs are essential because it is impossible to navigate through the ocean of unlike data available for modeling and analysis without some tools to illuminate the process.