Graph mining and subgraph analysis encompass a suite of techniques dedicated to unearthing hidden patterns, recurring structures and relationships within complex networks. This field has rapidly ...

A decorated UVA engineer collects early-career honors for his leadership and contributions to the data mining field.

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 ...

Data mining is an analytical process designed to explore and analyze large data sets to discover meaningful patterns, correlations and insights. It involves using sophisticated data analysis tools to ...

Data mining, sometimes used synonymously with “knowledge discovery,” is the process of sifting large volumes of data for correlations, patterns, and trends. It is a subset of data science that uses ...

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 ...