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基于EM聚类的LTE技术竞争情报分析
引用本文:娄道国,刘盛博,许侃.基于EM聚类的LTE技术竞争情报分析[J].情报探索,2014(2):64-67.
作者姓名:娄道国  刘盛博  许侃
作者单位:[1]大连供电公司,辽宁大连116001 [2]大连理工大学WISE实验室,辽宁大连116023 [3]大连理工大学计算机科学与技术学院,辽宁大连116023
摘    要:以下一代移动通信技术LTE为研究对象,运用文本挖掘技术的EM聚类方法,对德温特创新数据库中6450篇LTE相关专利文献进行文本聚类分析.揭示出LTE技术6个子领域的分布状况,并自动识别每个子领域的研究热点,为客观认识LTE相关专利技术内容提供了定量依据.同时分析每个子领域中竞争企业布局,挖掘每个子领域中专利竞争情报.

关 键 词:文本聚类  EM(期望最大化)算法  LTE专利技术  内容分析  竞争情报

EM Clustering-based Analysis on Competitive Technical Intelligence of LTE
Lou Daoguo,Liu Shengbo,Xu Kan.EM Clustering-based Analysis on Competitive Technical Intelligence of LTE[J].Information Research,2014(2):64-67.
Authors:Lou Daoguo  Liu Shengbo  Xu Kan
Institution:1. Dalian Power Supply Company, Dalian Liaoning 116001 ) ( 2. WISE Lab, Dalian University of Technology, Dalian aoning 116023 ) ( 3. School of Computer Science and Technology, Dalian University of Technology, Dalian Liaoning 116023 )
Abstract:The paper takes the next-generation mobile communication technology LTE as research object, uses EM clustering method of text mining technology to make text clustering analysis on 6450 LTE-related patent documents in Derwent Innovation Index. It reveals the distribution of LTE technology's six sub-fields, and identifies research hotspots in each sub-field automatically, to pro- vide a quantitative basis for understanding LTE-related patent technology content objectively. It also analyzes competitive enterprises' layout in each sub-field and mines patent competitive intelligence in LTE technology's six sub-fields.
Keywords:text clustering  EM algorithm  LTE patent technology  content analysis  competitive intelligence
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