RAPID MASS TIME-SERIES DATA PROCESSING METHOD BASED ON AGGREGATED EDGE AND TIME-SERIES AGGREGATED EDGE

摘要

A rapid mass time-series data processing method based on an aggregated edge and a time-series aggregated edge, which realizes rapid real-time processing of an association relationship based on a graph data structure in a mass data mode. On the basis of incremental flow calculation of a time window, a data structure of an "aggregated edge" and a "time-series aggregated edge" is provided in the method, and the method is suitable for data modeling of a real-time dynamic graph. Moreover, a time-series graph query language is introduced, description semantics of time-series information is added, and a basic query based on a point, an edge and an attribute is supported, and a graph query, comprising graph matching and graph filtering, can also be performed by a user on an index calculation result in a certain time window. The method is applicable to fields such as marketing and real-time risk control based on mass data mining, and has good timeliness control and high expandability capabilities.