基于张量分解的多聚类高性能计算在企业管理中的应用  

Application of multi-clustering high-performance computing based on tensor decomposition in enterprise management

作　　者：王定军[1] 张浩 朱良海 潘高军 WANG Dingjun;ZHANG Hao;ZHU Lianghai;PAN Gaojun(Zhongbo Information Technology Research Institute Co.,Ltd.,Nanjing 210012,China;China Communications Services Co.,Ltd.,Beijing 100073,China;Tianyi Cloud Technology Co.,Ltd.,Beijing 100083,China;Zhejiang Communication Industry Services Co.,Ltd.,Hangzhou 310052,China)

机构地区：[1]中博信息技术研究院有限公司,江苏南京210012 [2]中国通信服务股份有限公司,北京100073 [3]天翼云科技有限公司,北京100083 [4]浙江省通信产业服务有限公司,浙江杭州310052

出　　处：《无线互联科技》2024年第23期60-63,共4页Wireless Internet Science and Technology

基　　金：国家自然科学基金,项目编号:61972208;江苏省研究生科研与实践创新计划项目,项目编号:KYCX22_1027。

摘　　要：在工业4.0的背景下,企业管理领域越来越重视数据驱动的决策支持系统。多聚类高性能计算技术已成为当前研究的热点之一。为探讨多聚类高性能计算技术对企业管理的深远影响,文章聚焦于物联网印章场景,创新性地将张量分解技术应用于数据处理过程,提取了有价值的信息,以支持管理决策。研究发现,该技术不仅显著提升了数据处理的效率,还深化了人们对企业管理流程的理解,进而推动了管理过程的自动化、协同化和智能化,优化了资源配置。In the context of Industry 4.0,there is an increasing emphasis on data-driven decision support systems in the field of enterprise management.Multi-clustering high-performance computing technology has become one of the hot topics in current research.This paper focuses on the IoT seal scenario and aims to explore its far-reaching impact on enterprise management.By innovatively applying tensor decomposition technology to data processing,this paper extracts valuable information to support management decision-making.It is found that this technology not only significantly improves the efficiency of data processing,but also deepens the understanding of enterprise management processes,thereby promoting the automation,collaboration and intelligence of management processes and optimizing resource allocation.

关 键 词：智能印章 企业管理 多聚类 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]