Graph technology has become a requirement for the modern enterprise. Companies in virtually every industry, from healthcare to energy to financial services, are applying the power of graph analytics ...

If you’ve ever doubted that visualization matters to data analysis, you need to see these images. Why is data visualization so important in statistics, anyway? Graphs and other kinds of visualizations ...

Franz Inc., an early innovator in artificial intelligence (AI) and leading supplier of graph database technology for Neuro-Symbolic AI Solutions, is introducing AllegroGraph v9.0, featuring ...

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. By ...

Many businesses rely on statistical analysis to organize collected information and predict future trends based on that data. While organizations have lots of options on what to do with their big data, ...

Computer scientists from Carnegie Mellon University have devised a framework for running large-scale computations for tasks such as social network or Web search analysis efficiently on a single ...

The analysis of cancer biology data involves extremely heterogeneous data sets, including information from RNA sequencing, genome-wide copy number, DNA methylation data reporting on epigenetic ...