An Accelerated Algorithm for Data Mining in Communication Networks Based on Distributed Parameter Models
In order to optimize the effectiveness of communication network data mining,an ac-celerated algorithm for communication network data mining based on distributed parameter models was studied.Firstly,preprocess communication network data,eliminate the impact of communication network data noise,fill in missing data values,and obtain complete data.Second-ly,sclect the subset of candidate attributes of communication network data to be accelerated for mining.Using a statistical based communication network outlier mining method to mine com-munication network data outliers.On this basis,design the content of the communication net-work data mining acceleration algorithm,and use the mining acceleration clustering analysis re-sults as the final data mining results to achieve the data mining acceleration goal in all aspects and multi-dimensions.The experimental results show that after the application of the proposed algo-rithm,the data mining speed of the communication network is always higher than that of the control group,and the acceleration effect is good.
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