Guest Editorial of the Special section on Graph-Powered Intelligent Data Processing for Consumer Electronics

Abstract

Intelligent data processing harnesses the power of learning, analytics, and automated data insight extraction to guide managers through decision making, which emerged as imperative tools in computer science and information processing. However, the huge amount and complexity of the data acquired pose great challenges for processing and analysis. A graph is made up of nodes - real-life entities, like health care providers (HCPs), Integrated Delivery Networks (IDNs), and products - that can be connected to signify relationships. This model can represent real-world relationships much more clearly than relational databases that have rigid schemas. Leading consumer applications, like LinkedIn and Facebook, utilize graphs to easily identify and visualize complex relationships in a simple interface. This technology is an elegant, powerful way to solve complex data problems.