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A real-time preprocessing model for massive data streams based on incremental learning

Source: Internet
Author: User
Keywords Massive data stream real-time preprocessing model incremental learning
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A real-time preprocessing model for massive data streams based on incremental learning

Chen Danwei Chenhauzhuangjun

Aiming at the real-time and high efficiency of data stream preprocessing in mass data environment, a real-time preprocessing model of data flow in large data environment is proposed, based on MMHC (Maxmin hillclimbing) and incremental learning method to improve Bayesian network model construction process, Improve the effectiveness of the preprocessing model, but also reduce the time consumed by the model update, to some extent, prevent the data backlog, support the dynamic update of the network structure, suitable for more complex data environment.


A real-time preprocessing model for massive data streams based on incremental learning

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Related Keywords:
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