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基于聯(lián)合壓縮感知重構的網(wǎng)絡(luò )通信服務(wù)目標數據檢測技術(shù)
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Target Data Detection Technology of Network Communication Service Based on Joint Compressed Sensing Reconstruction
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    摘要:

    采用當前無(wú)監督組件支持向量機模型檢測技術(shù)、高維隨機矩陣檢測技術(shù),對網(wǎng)絡(luò )通信服務(wù)目標數據檢測時(shí),缺少特殊屬性目標采集過(guò)程,導致數據檢測效果較差。針對該問(wèn)題,提出了基于聯(lián)合壓縮感知重構的網(wǎng)絡(luò )通信服務(wù)目標數據檢測技術(shù)研究。根據聯(lián)合壓縮感知重構原理,采集網(wǎng)絡(luò )通信服務(wù)節點(diǎn)溫度稀疏目標數據,利用聯(lián)合壓縮感知重構技術(shù)處理網(wǎng)絡(luò )節點(diǎn)通信數據,構造稀疏二進(jìn)制矩陣,完成對未知數量檢測數據精確重構。利用構造函數計算網(wǎng)絡(luò )通信服務(wù)數據之間的相似度,完成不同樣本特征的區分,剔除不必要數據特征,并采用聯(lián)合壓縮感知重構技術(shù)實(shí)現對網(wǎng)絡(luò )通信服務(wù)目標數據檢測。實(shí)驗結果表明,該技術(shù)數據檢出率最高可達到87%,為海量數據下社交網(wǎng)絡(luò )特殊對象數據挖掘奠定基礎。

    Abstract:

    Abstract: The current unsupervised component support vector machine model detection technology and high-dimensional random matrix detection technology are used. When the target data of network communication service is detected, the special attribute target acquisition process is lacking, resulting in poor data detection. Aiming at this problem, this paper proposes a research on network communication service target data detection technology based on joint compressed sensing reconstruction. According to the principle of joint compressed sensing reconstruction, the temperature sparse target data of the network communication service node is collected, and the joint compressed sensing reconstruction technology is used to process the communication data of the network node, and the sparse binary matrix is ??constructed to complete the accurate reconstruction of the unknown quantity detection data. The constructor is used to calculate the similarity between network communication service data, to distinguish different sample features, to eliminate unnecessary data features, and to use joint compressed sensing reconstruction technology to detect network communication service target data. The experimental results show that the detection rate of the technology data can reach 87%, which lays a foundation for the data mining of social network special objects under massive data.

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孫雪峰.基于聯(lián)合壓縮感知重構的網(wǎng)絡(luò )通信服務(wù)目標數據檢測技術(shù)計算機測量與控制[J].,2020,28(4):62-65.

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  • 收稿日期:2019-09-16
  • 最后修改日期:2019-09-16
  • 錄用日期:2019-10-10
  • 在線(xiàn)發(fā)布日期: 2020-04-15
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