LONDON--(BUSINESS WIRE)--Graph technology and graph analytics are used across industries for different purposes, including social media analysis, risk analysis, fraud detection and prevention, and ...

How would you feel if you saw demand for your favorite topic — which also happens to be your line of business — grow 1,000% in just two years’ time? Vindicated, overjoyed, and a bit overstretched in ...

LAS VEGAS--(BUSINESS WIRE)--Graph analytics and entity resolution are crucial for organizations seeking to harness the power of their data. Today, Senzing, Inc., the Smarter Entity Resolution® company ...

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. Nvidia has long ago stopped ...

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 ...

Graph algorithms and network analysis form the backbone of modern computational techniques used to decode the complex structures and dynamic behaviours exhibited by diverse real-world networks. From ...

Microsoft Office Excel contains a data analysis add-in that allows to to perform a Fourier analysis of a series of numbers. So named for the French mathematician who developed the analytic technique ...

TigerGraph, a Redwood City, California-based software developer providing a suite of enterprise graph database tools, today announced that that it’s secured $32 million in series B funding led by ...

Oliva, Rogelio. "Model Structure Analysis Through Graph Theory: Partition Heuristics and Feedback Structure Decomposition." Harvard Business School Working Paper, No. 04-016, October 2003.