Graph-based pattern mining encompasses a suite of computational methods designed to discover recurring substructures within graph-structured data. These techniques involve systematically enumerating ...

A professor has helped create a powerful new algorithm that uncovers hidden patterns in complex networks, with potential uses in fraud detection, biology and knowledge discovery. University of ...

Victor Lee is director of product management at TigerGraph. Graph databases excel at answering complex questions about relationships in large data sets. But they hit a wall—in terms of both ...

Data mining is a technology for discovering useful patterns and knowledge from large amounts of data. This article explains ...

Both process mining and data mining can help business leaders gain a competitive edge, but they work in different ways. Here's a look at what process mining and data mining do and how they are ...