基于专利主题建模的智能技术管理:*注:Xplore中不捕获副标题,请勿使用

Mohamed Maskittou, Anass El Haddadi, Hayat Routaib
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引用次数: 0

摘要

竞争情报和技术洞察是利用大数据分析的材料和方法对现有知识进行整理的结果,将大数据分析整合到专利分析领域是市场上任何公司获得关于计算环境的强大知识的迫切需要。本文提出了一种基于奇异值分解(SVD)作为确定专利数据之间相关性的核心工具,从特征选择到聚类阶段的完整方法,是专利分析的新范式。语义专利主题可以出现更多相关的主题,帮助公司高层管理人员提出新的管理战略,以填补与市场的差距,降低组织各级的生产成本和决策时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent technology management based on patent topic modeling : *Note: Sub-titles are not captured in Xplore and should not be used
Competitive intelligence and technology insights are the results of using the materials and methods of big data analytics to arrange existing knowledge, integrating big data analytics in the field of patent analysis is an urgent need for any company in the marketplace to gain strong knowledge about the computational environment, this paper is a new paradigm in patent analysis by proposing a full methodology from feature selection to clustering phase based on singular value decomposition (SVD) as a central tool to determine the correlation between the patent’s data, semantic patent topics could emerge more relevant topics helping the senior managers in the companies in claiming new management strategy to fill the gaps with the markets with decreasing the cost of the production and time-consuming of the decision-making in each level of the organization.
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