Research on the Computer Complex Data Processing in the Big Data Era

Aiming at the problem of the extension framework for complex data processing, this paper uses the CEP technology as a reference to propose a complex event big data generation method based on Bayesian networks. This method takes part of the real sample data as the research object, combines the experience of experts in related fields, gives the definition of complex event models, and uses algebraic expressions to describe the specific event information in the data set, such as event models such as cause and effect, sequence, selection, and coordination. Network communication relationship expansion based on multi-network integration uses multiple networks, analyzes the mapping between networks, and expands the connectivity of the network. The network communication relationship expansion based on named entity recognition extracts named entities that can expand the network from a single network. 11.2% reduction in complexity.