Advanced Processing and Analytics for Large-scale Graphs
Yasuhiro Iida, Yasunari Kishimoto, Yasuhiro Fujiwara, Hiroaki Shiokawa, Junya Arai, Sotetsu Iwamura · NTT technical review · 2016
Expectations have been rising in recent years for capabilities to extract hidden knowledge in friendship relationships, product purchase relationships, and business transaction relationships for use in promoting sales, increasing work efficiency, and other such purposes.A graph is a data structure that represents data relationships.Data mining on graph data is called graph mining.Here, we describe advanced graph mining techniques that can be used to instantly discover hidden knowledge in large-scale graphs which lead to improved work efficiency through high-speed graph processing.We also present examples of graph mining applications.