基于Internet的电信竞争情报收集系统（CIS）研究与实践
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摘要
本论文通过分析国内外竞争情报系统发展的理论与实践,结合中国电信企业的自身特点,为国内电信企业建设CIS提供了一个可行的解决方案。本文首先简要介绍了情报、竞争情报(CI)以及竞争情报系统(CIS)的含义,分析了竞争情报系统对企业的运作所起的作用,并归纳了国内外竞争情报系统发展的概况与现状。然后通过描述电信企业所面临的竞争态势与信息困惑,从电信行业发展背景、企业内部以及竞争情报系统的建设现状三个方面剖析了电信企业建设CIS的必要性,又从技术、经济和文化三个角度说明了电信企业建设CIS的可行性。
第三章、第四章是本论文的核心部分,分别介绍了软件系统设计、软件系统的实现及结果分析。其中第三章主要提出了电信企业建设CIS要遵循的原则和最终要实现的目标,设计了电信企业CIS的总体架构、功能模块、数据流程,从这三个方面全面阐述了电信企业CIS平台的模型的搭建。
论文最后是小结部分,指出了在电信企业在建设CIS的具体实践过程中还要解决的问题,以及待进一步探讨与研究的内容。
Through analyzing the theory and practice of domestic and overseas CIS development, and considering the characteristics of domestic telecom enterprises, the thesis provides a feasible solution for establishing CIS in domestic telecom enterprises.
First of all, the thesis introduces the concept of intelligence, CI, and CIS briefly analyzes the CIS's effect on enterprises operation, and summarizes the general and present situation of domestic and overseas CIS development. Then, through describing the competition situation and information puzzle faced by the telecom enterprises, it analyzes the necessity of establishing CIS for telecom enterprises from three aspects that is the background of telecom industry, the inner of enterprises, and the construction state of CIS, and demonstrates the feasibility of establishing CIS for telecom enterprises from three angles of technologies, economics and cultures.
Chapter Three and Four are the key part of this thesis which introduces the design, fulfillment and result analysis of software system. Chapter Three mainly proposes the principles and goals for establishing CIS in telecom enterprises, designs the whole framework of telecom enterprises' CIS, function module and dada flow from which explains roundly the set up of CIS platform's model.
The final part is the conclusions which indicate the problems to be resolved and the contents to be discussed and researched deeply in the practical process of establishing CIS for telecom enterprises.
第三章、第四章是本论文的核心部分,分别介绍了软件系统设计、软件系统的实现及结果分析。其中第三章主要提出了电信企业建设CIS要遵循的原则和最终要实现的目标,设计了电信企业CIS的总体架构、功能模块、数据流程,从这三个方面全面阐述了电信企业CIS平台的模型的搭建。
论文最后是小结部分,指出了在电信企业在建设CIS的具体实践过程中还要解决的问题,以及待进一步探讨与研究的内容。
Through analyzing the theory and practice of domestic and overseas CIS development, and considering the characteristics of domestic telecom enterprises, the thesis provides a feasible solution for establishing CIS in domestic telecom enterprises.
First of all, the thesis introduces the concept of intelligence, CI, and CIS briefly analyzes the CIS's effect on enterprises operation, and summarizes the general and present situation of domestic and overseas CIS development. Then, through describing the competition situation and information puzzle faced by the telecom enterprises, it analyzes the necessity of establishing CIS for telecom enterprises from three aspects that is the background of telecom industry, the inner of enterprises, and the construction state of CIS, and demonstrates the feasibility of establishing CIS for telecom enterprises from three angles of technologies, economics and cultures.
Chapter Three and Four are the key part of this thesis which introduces the design, fulfillment and result analysis of software system. Chapter Three mainly proposes the principles and goals for establishing CIS in telecom enterprises, designs the whole framework of telecom enterprises' CIS, function module and dada flow from which explains roundly the set up of CIS platform's model.
The final part is the conclusions which indicate the problems to be resolved and the contents to be discussed and researched deeply in the practical process of establishing CIS for telecom enterprises.
引文
[1]陈琼,赵燕平,基于Internet的企业竞争情报系统研究综述,情报杂志,2003年第10期
[2]包昌火,谢新洲等,竞争对手分析论述,情报学报。2003(1)
[3]方爵,建立企业竞争情报系统模型的粗略设想,情报学报,第16卷,第5期,1997年10月
[4]Alberto H F Laender,Berthier A Ribeiro-Neto,Ahigran S da Silva,Juliana S Teixeira.A brief survey of Web data extraction tools[J].ACM SIGMOD Record,June 2002,31(2):84-93.
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[6]S.Scott.Feature engineering for a symbolic approach to text classification.Master' sthesis,Computer Science Department,University of Ottawa,Ottawa,CA,1998
[7]Baeza-Yates,R.and Ribeiro-Neto,B.Modern Information Retrieval.1st ed.Addison-Wesley-Longman,Reading,MA,1999
[8]M.Maron and J.Kuhns.On relevance,probabilistic indexing,and information retrieval.Journal of the ACM,pages 216-244,1960
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[12]Steven M.Beitzel,Eric C.Jensen,Rebecca Cathey,Ling Ma,David A.Grossman,Ophir Frieder,Abdur Chowdhury,Greg Pass,Herman Vandermolen:IIT at TREE 2003,Task Classification and Document Structrure for Known-Item Search.TREE 2003:311-320
[13]An improved TF-IDF approach for text classification,Z Yun-tao,G Ling,W Yong-cheng浙江大学学报A(英文版),2005
[14]Evaluation of Features for Sentence Extraction on Different Types of Corpora,C Nobata,S Sekine,H Isahara-Proceedings of the ACL 2003workshop on Mutltilingual...,2003
[15]Valter Crescenzi,Giansalvatore Mecca,Paolo Merialdo.RoadRunner:Towards Automatic Data Extraction from LargeWeb Sites[C].Proceedings of the 27th InternationalConference on Very Large Data Bases,September 2001.109-118.
[16]Arvind Arasu.Hector Garcia-Molina.Extracting Structured Data from Web Pages[C].Proceedings of the 2003 ACM SIGMOD international conference on Management of data,June 2003.337-348.
[17]Saikat Mukherjee,Guizhen Yang,Wenfang Tan,Ramakrishnan.Automatic Discovery of Semantic Structures in HTML Documents[C].Proceedings of the Seventh Intern ational Conference on Document Analysis and Recognition,August 2003.245-245.
[18]谭松波,高性能文本分类算法研究,中国科学院计算技术研究所论文,2006,1
[19]梁循,数据挖掘:建模、算法、应用和系统,计算机技术与发展,2006,16
[20]林志雄,欧伟强,郑见纯,数据挖掘技术在电信营销的应用,广东通信技术,2004,12
[21](美)唐(Tang,z.H.),(美)麦克雷南(MaccLennan,J)。数据挖掘原理与应用。北京:清华大学出版社,2007
[22]贾连印,一种瘦客户端OLAP的研究与实现:[硕士学位论文]。昆明:昆明理工大学,2006
[23]段云峰,吴唯宁,李剑威,韩洁,《数据仓库及其在电信领域中的应用》,电子工业出版社,2003,10
[24]卢亮,张博文,搜索引擎原理、实践与应用,电子工业出版社,2007,9
[25]孙茂松,邹嘉彦,汉语自动分词研究评述,当代语言学,2001,01
[26]庞剑锋,卜东波,白硕,基于向量空间模型的文本自动分类系统的研究与实现[J],计算机应用研究,2001,18(9)
[27]周茜,赵明生,中文文本分类中的特征选择研究[J],中文信息学报,2004,18(3):17-23
[28]边肇祺,张学工,模式识别[M],第二版,北京:清华大学出版社,2000,284-304
[29]吴立德,大规模汉语文本处理,复旦大学出版社,1997
[30]卢增祥,李衍达,交互支持向量机学习算法及其应用,清华大学学报自然科学版,1999,39(7)
[31]王伟强,高文,段立娟,Internet上的文本数据挖掘[J],计算机科学,2000,14(4):32-36
[32]单松巍,冯是聪,李晓明,几种典型特征选取方法在中文网页分类上的效果比较[J],计算机工程与应用,2003,22:146-148
[33]刘少辉,董明楷等,一种基于向量空间模型的多层次文本分类方法[J],中文信息学报,2002,16(3):8-26
[34]何浩,杨海棠,一种基于N-Gram技术的中文文献自动分类方法[J],情报学报,2002,21(4)
[35]中国图书馆分类法编辑委员会编,中国图书馆分类法第四版[M],北京:北京图书馆出版社,1999
[36]陈小荷,现代汉语自动分析,北京,北京语言文化大学出版社,2000
[2]包昌火,谢新洲等,竞争对手分析论述,情报学报。2003(1)
[3]方爵,建立企业竞争情报系统模型的粗略设想,情报学报,第16卷,第5期,1997年10月
[4]Alberto H F Laender,Berthier A Ribeiro-Neto,Ahigran S da Silva,Juliana S Teixeira.A brief survey of Web data extraction tools[J].ACM SIGMOD Record,June 2002,31(2):84-93.
[5]S.Scott,S.Matwin.Feature engineering for text classification.In Proceedings of ICML-99,16th International Conference on Machine Learning,pages 379-388,Bled,SL,1999.Morgan Kaufmann Publishers,San Francisco,US.
[6]S.Scott.Feature engineering for a symbolic approach to text classification.Master' sthesis,Computer Science Department,University of Ottawa,Ottawa,CA,1998
[7]Baeza-Yates,R.and Ribeiro-Neto,B.Modern Information Retrieval.1st ed.Addison-Wesley-Longman,Reading,MA,1999
[8]M.Maron and J.Kuhns.On relevance,probabilistic indexing,and information retrieval.Journal of the ACM,pages 216-244,1960
[9]S.Robertson.The probability ranking principle in IR.Journal of Documentation.33,1977.
[10]Ricardo Baeza-Yates,Berthier Ribeiro-Neto,et al,Modern Information Retrieval,ACM Press,1999
[11]Robertson,S.E.,Walker,S.,Beaulieu,M.M.,Gatford,M.,Payne,A.Okapi atTREC-4,The Fourth Text REtrieval Conference(TREC-4),NIST Special Publication 500-236,National Institute of Standards and Technology,Gaithersburg,MD,pp:73-86,Oct,1996.
[12]Steven M.Beitzel,Eric C.Jensen,Rebecca Cathey,Ling Ma,David A.Grossman,Ophir Frieder,Abdur Chowdhury,Greg Pass,Herman Vandermolen:IIT at TREE 2003,Task Classification and Document Structrure for Known-Item Search.TREE 2003:311-320
[13]An improved TF-IDF approach for text classification,Z Yun-tao,G Ling,W Yong-cheng浙江大学学报A(英文版),2005
[14]Evaluation of Features for Sentence Extraction on Different Types of Corpora,C Nobata,S Sekine,H Isahara-Proceedings of the ACL 2003workshop on Mutltilingual...,2003
[15]Valter Crescenzi,Giansalvatore Mecca,Paolo Merialdo.RoadRunner:Towards Automatic Data Extraction from LargeWeb Sites[C].Proceedings of the 27th InternationalConference on Very Large Data Bases,September 2001.109-118.
[16]Arvind Arasu.Hector Garcia-Molina.Extracting Structured Data from Web Pages[C].Proceedings of the 2003 ACM SIGMOD international conference on Management of data,June 2003.337-348.
[17]Saikat Mukherjee,Guizhen Yang,Wenfang Tan,Ramakrishnan.Automatic Discovery of Semantic Structures in HTML Documents[C].Proceedings of the Seventh Intern ational Conference on Document Analysis and Recognition,August 2003.245-245.
[18]谭松波,高性能文本分类算法研究,中国科学院计算技术研究所论文,2006,1
[19]梁循,数据挖掘:建模、算法、应用和系统,计算机技术与发展,2006,16
[20]林志雄,欧伟强,郑见纯,数据挖掘技术在电信营销的应用,广东通信技术,2004,12
[21](美)唐(Tang,z.H.),(美)麦克雷南(MaccLennan,J)。数据挖掘原理与应用。北京:清华大学出版社,2007
[22]贾连印,一种瘦客户端OLAP的研究与实现:[硕士学位论文]。昆明:昆明理工大学,2006
[23]段云峰,吴唯宁,李剑威,韩洁,《数据仓库及其在电信领域中的应用》,电子工业出版社,2003,10
[24]卢亮,张博文,搜索引擎原理、实践与应用,电子工业出版社,2007,9
[25]孙茂松,邹嘉彦,汉语自动分词研究评述,当代语言学,2001,01
[26]庞剑锋,卜东波,白硕,基于向量空间模型的文本自动分类系统的研究与实现[J],计算机应用研究,2001,18(9)
[27]周茜,赵明生,中文文本分类中的特征选择研究[J],中文信息学报,2004,18(3):17-23
[28]边肇祺,张学工,模式识别[M],第二版,北京:清华大学出版社,2000,284-304
[29]吴立德,大规模汉语文本处理,复旦大学出版社,1997
[30]卢增祥,李衍达,交互支持向量机学习算法及其应用,清华大学学报自然科学版,1999,39(7)
[31]王伟强,高文,段立娟,Internet上的文本数据挖掘[J],计算机科学,2000,14(4):32-36
[32]单松巍,冯是聪,李晓明,几种典型特征选取方法在中文网页分类上的效果比较[J],计算机工程与应用,2003,22:146-148
[33]刘少辉,董明楷等,一种基于向量空间模型的多层次文本分类方法[J],中文信息学报,2002,16(3):8-26
[34]何浩,杨海棠,一种基于N-Gram技术的中文文献自动分类方法[J],情报学报,2002,21(4)
[35]中国图书馆分类法编辑委员会编,中国图书馆分类法第四版[M],北京:北京图书馆出版社,1999
[36]陈小荷,现代汉语自动分析,北京,北京语言文化大学出版社,2000