一种用于企业竞争情报动态识别分析的改进求解算法的研究

Zhao Yan
{"title":"一种用于企业竞争情报动态识别分析的改进求解算法的研究","authors":"Zhao Yan","doi":"10.1109/YCICT.2010.5713104","DOIUrl":null,"url":null,"abstract":"In order to make out the competitive landscape by identifying analysis information of business competitor, an improved CURE algorithm is used in this paper. By assigning weight value to identify element , the method overcomes the limits of representative point lack of represent. And the dynamic adjust of the weight value increases the flexibility of clustering. For the initial clustering results, further small class merged. It overcomes the unreasonable result by the shortest distance replaced with the similarity of two classes in this process. Finally, the result displayed by visual means. Theory analysis and experiment result show that it is a validate method to dynamic identifying analysis of competitor for enterprise.","PeriodicalId":179847,"journal":{"name":"2010 IEEE Youth Conference on Information, Computing and Telecommunications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Research of an improved cure algorithm used in enterprise competitive intelligence to dynamic identify analysis\",\"authors\":\"Zhao Yan\",\"doi\":\"10.1109/YCICT.2010.5713104\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to make out the competitive landscape by identifying analysis information of business competitor, an improved CURE algorithm is used in this paper. By assigning weight value to identify element , the method overcomes the limits of representative point lack of represent. And the dynamic adjust of the weight value increases the flexibility of clustering. For the initial clustering results, further small class merged. It overcomes the unreasonable result by the shortest distance replaced with the similarity of two classes in this process. Finally, the result displayed by visual means. Theory analysis and experiment result show that it is a validate method to dynamic identifying analysis of competitor for enterprise.\",\"PeriodicalId\":179847,\"journal\":{\"name\":\"2010 IEEE Youth Conference on Information, Computing and Telecommunications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Youth Conference on Information, Computing and Telecommunications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/YCICT.2010.5713104\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Youth Conference on Information, Computing and Telecommunications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YCICT.2010.5713104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

为了通过识别商业竞争对手的分析信息来绘制竞争格局,本文采用了一种改进的CURE算法。该方法通过赋予权重值来识别元素,克服了代表性点缺乏代表性的局限性。权重值的动态调整增加了聚类的灵活性。对于初始聚类结果,进一步合并小类。在此过程中,用两类的相似性代替最短距离来克服不合理的结果。最后,用可视化的方式将结果显示出来。理论分析和实验结果表明,该方法对企业动态识别竞争对手分析是一种有效的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research of an improved cure algorithm used in enterprise competitive intelligence to dynamic identify analysis
In order to make out the competitive landscape by identifying analysis information of business competitor, an improved CURE algorithm is used in this paper. By assigning weight value to identify element , the method overcomes the limits of representative point lack of represent. And the dynamic adjust of the weight value increases the flexibility of clustering. For the initial clustering results, further small class merged. It overcomes the unreasonable result by the shortest distance replaced with the similarity of two classes in this process. Finally, the result displayed by visual means. Theory analysis and experiment result show that it is a validate method to dynamic identifying analysis of competitor for enterprise.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信