Data Mining Technology and Its Application in Multi-sensor Data Processing

Junjun Xu, Yunhui Guo, Jiang Wang
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Abstract

Big data contains huge data value, can effectively promote the development of university information; However, there are many difficulties in the application of big data in multi-sensor data processing. In view of the practical problems faced by the current multi-sensor data processing and big data applications, the overall architecture design and the construction of core modules of multi-sensor data processing are carried out, including data acquisition, data governance, data storage, real-time computing and big data algorithm, data management, application service center and data security center. The application of multi-sensor data processing in data mining shows that it can meet the requirements of multi-sensor data processing and provide useful reference for multi-sensor data processing.
数据挖掘技术及其在多传感器数据处理中的应用
大数据蕴含着巨大的数据价值,能够有效推动高校信息化发展;然而,大数据在多传感器数据处理中的应用存在诸多困难。针对当前多传感器数据处理和大数据应用面临的实际问题,进行了多传感器数据处理的总体架构设计和核心模块构建,包括数据采集、数据治理、数据存储、实时计算和大数据算法、数据管理、应用服务中心和数据安全中心。多传感器数据处理在数据挖掘中的应用表明,它可以满足多传感器数据处理的要求,为多传感器数据处理提供有益的参考。
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