In a hybrid cloud environment

data flow has disturbance

the anti jamming problem of adaptive compression mining algorithm for scattered point cloud is not good

a hybrid cloud environment for extracting data information flow is proposed based on phase space reconstruction and association rule mining algorithm under the characteristics of data stream. First

to construct a hybrid cloud environment information data flow time series analysis model for data structure analysis

and then the hybrid cloud environment data flow information flow for high dimensional phase space reconstruction of association rules in the feature extraction phase space reconstruction

with the extracted features as pheromone positioning guide data mining

data mining algorithm is improved. Finally through the simulation experiment of performance test

the results show that

by using the algorithm in hybrid cloud data mining features extraction has better convergent

higher accurate probability of data mining

anti-interference performance is better than traditional methods.