5G/B5G electric power communication network flow analysis method based on multi-time sequence data mining
The invention relates to a 5G/B5G electric power communication network flow analysis method based on multi-time series data mining, and the method comprises the specific steps: 1) analyzing the flow characteristics of a 5G/B5G electric power communication network, 2) building a 5G/B5G electric power...
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creator | SHANG BOXIANG HUANG LIYAN GE MENG LIU JIN WU YUNHAI LIU YIZHAO WANG JIANFENG LU CHAO ZHANG KAINAN YU HAITAO FENG YINGMIN YIN XIYANG WANG QIANG LU ZHIXIN WANG ZHONGYU YIN BO TANG DATONG FAN ZHENG LYU GUOYUAN WANG DAN QU SIHENG XIANG TIANCHUN LI SHUANGBING |
description | The invention relates to a 5G/B5G electric power communication network flow analysis method based on multi-time series data mining, and the method comprises the specific steps: 1) analyzing the flow characteristics of a 5G/B5G electric power communication network, 2) building a 5G/B5G electric power communication network flow model, and selecting a multi-time series data mining method to build the flow model, the truth of traffic of a 5G/B5G communication network based on power traffic is described. Different from electric power communication flow analysis in the traditional sense, a 5G/B5G electric power communication flow level is newly divided, a multi-time sequence data mining algorithm is adopted, reasonable statistical description is performed on the 5G/B5G electric power communication flow, and a plurality of flow characteristic time sequences are analyzed as a whole. Effective abnormal network flow characteristic association rules are generated, the safety condition of the whole 5G/B5G electric power |
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Different from electric power communication flow analysis in the traditional sense, a 5G/B5G electric power communication flow level is newly divided, a multi-time sequence data mining algorithm is adopted, reasonable statistical description is performed on the 5G/B5G electric power communication flow, and a plurality of flow characteristic time sequences are analyzed as a whole. 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Different from electric power communication flow analysis in the traditional sense, a 5G/B5G electric power communication flow level is newly divided, a multi-time sequence data mining algorithm is adopted, reasonable statistical description is performed on the 5G/B5G electric power communication flow, and a plurality of flow characteristic time sequences are analyzed as a whole. 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Different from electric power communication flow analysis in the traditional sense, a 5G/B5G electric power communication flow level is newly divided, a multi-time sequence data mining algorithm is adopted, reasonable statistical description is performed on the 5G/B5G electric power communication flow, and a plurality of flow characteristic time sequences are analyzed as a whole. Effective abnormal network flow characteristic association rules are generated, the safety condition of the whole 5G/B5G electric power</abstract><oa>free_for_read</oa></addata></record> |
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subjects | ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION WIRELESS COMMUNICATIONS NETWORKS |
title | 5G/B5G electric power communication network flow analysis method based on multi-time sequence data mining |
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