Abstract
With the development of economy and technology, network communication has become one of the important tools of national life and needs to be kept stable and safe at all times. Based on data mining, this paper studied and analyzed the communication engineering optimization model. In the cell clustering algorithm, an improved K-means clustering algorithm was used. The data was preprocessed, and then the abnormal cells existing in the data are detected and removed, and then the network data of the cells after the abnormal cells were removed and clustered, and the cells with similar network characteristics were classified into one type. Finally, we conducted data analysis for each type of cell, obtaining the current network operation, and proposed network optimization solutions.
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Qiu, F. Establishment of Communication Engineering Optimization Model Based on Data Mining. Wireless Pers Commun 103, 1253–1262 (2018). https://doi.org/10.1007/s11277-018-5505-z
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DOI: https://doi.org/10.1007/s11277-018-5505-z