An information processing method and system

Abstract

This invention discloses an information processing method and system, relating to the field of information processing technology. It includes S1, acquiring multi-source heterogeneous data and adding multi-dimensional time-series labels to the multi-source heterogeneous data; S2, constructing a dynamic association learning model, dynamically generating and updating a data association rule base through real-time collected features of the multi-source heterogeneous data, introducing a time-series attention mechanism to obtain dynamic association rules. This invention provides accurate time dimension basis for data processing by acquiring multi-source heterogeneous data and adding multi-dimensional time-series labels containing collection timestamps, transmission delay compensation values, and time sensitivity levels. Combined with the construction of a dynamic association learning model incorporating a time-series attention mechanism, it collects the frequency of associations and collaborative change trends of data fields in real time to dynamically update the association rule base, effectively capturing dynamic coupling relationships between data, and solving the problem that existing technologies relying on static models cannot adaptively identify implicit associations in multi-source heterogeneous data with strong time-series dependencies.

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