| 基于大数据集成算法的多终端接入模式自动化识别模型 |
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| 引用本文：周 鑫，李宝树，王 涵.基于大数据集成算法的多终端接入模式自动化识别模型[J].计算技术与自动化,2022,(2):34-39 |
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| 中文摘要:为提高移动终端设备多终端服务器接入精度与效率，更好地完成应用服务的人机交互，提出了基于大数据集成算法的多终端接入模式自动化识别模型。利用物联网环境采集多终端数据结构信息特征，组建传感器节点空间收敛目标函数，通过最小方差评估定位优化采集节点，收集完整接入数据；计算初步冲突特征信息，运用去一划分方法推算冲突特征数据离群性权值，构建冲突判断准则并输出冲突检测结果，掌握接入数据详细属性；通过高斯混合聚类归类多终端模式信息，采用最大化对数似然算法优化样本信息，把设备接入速度作为聚类指标，融合随机抽样思维，获得多终端接入模式自动化识别模型。实例测试结果表明，所建模型具备优秀的识别精准度与效率，能妥善完成预期模式识别目标。 |
| 中文关键词:大数据集成 多终端接入 模式识别 数据采集 冲突检测 |
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| Automatic Recognition Model of Multi Terminal Access Mode Based on Big Data Integration Algorithm |
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| Abstract:In order to improve the accuracy and efficiency of multi terminal server access of mobile terminal equipment and better complete the human-computer interaction of application services, an automatic recognition model of multi terminal access mode based on big data integration algorithm is proposed. The multi terminal data structure information features are collected in the Internet of things environment, and the spatial convergence objective function of sensor nodes is established. The acquisition nodes are located and optimized through the minimum variance evaluation, and the complete access data is collected; The initial conflict feature information is calculated, the outlier weight of the conflict feature data is calculated by using the de-noising method, the conflict judgment criteria are constructed, the conflict detection results are output, and the detailed attributes of the access data are mastered; Gaussian mixture clustering is used to classify the multi terminal mode information, and the maximum log likelihood algorithm is used to optimize the sample information. The device access speed is taken as the clustering index, and the random sampling thinking is integrated to obtain the automatic recognition model of multi terminal access mode. The test results show that the model has excellent recognition accuracy and efficiency, and can properly complete the expected pattern recognition target. |
| keywords:big data integration multi terminal access pattern recognition data acquisition conflict detection |
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