Simulation of Clustering Anomaly Mining Method in Cellular Mobile Network Big DataChinese Full Text
LI Hong-yan;XU Yin-sen;ZHANG Zi-dong;Department of Computer Engineering, Shangqiu University;College of Computer Engineering, Jimei University;
Abstract: Cellular mobile networks can provide voice, data, video and image services, and have terminal mobility, hand-off function and auto-roaming network. However, the amount of broadband data is huge, and it is always in the state of self-updating, leading to abnormal data. Therefore, a method of mining clustering anomalies of big data in cellular mobile networks was proposed. Based on the structure, data storage and data characteristics of cellular mobile networks, the data attributes were clustered,... More
Keywords:
Cellular mobile network; Big data; Abnormal mining method; Data clustering; Weak correlation feature;
- Series:
(I) Electronic Technology & Information Science
- Subject:
Telecom Technology; Computer Software and Application of Computer
- Classification Code:
TP311.13;TN929.5
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