期刊文献+

电信CRM技术发展研究 被引量:11

Study on Development of Telecom CRM Technology
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摘要 随着电信市场竞争的加剧,电信行业中客户关系管理(CRM)系统以其自身的优势成为电信企业提高服务质量、降低客户流失率、增强企业竞争力的关键。针对CRM理论与联机分析处理技术、数据挖掘技术、复杂网络理论及其技术的结合进行综述,给出相关算法的步骤、评价及改进方案,讨论电信CRM的研究发展方向。 With the increasing competition of telecommunications market, telecom Customer Relationship Management(CRM) system with its own merits becomes a key point to improve the quality of service, reduce customer turnover rate and enhance the competitiveness of telecommunications enterprises. A comprehensive survey on CRM theory combining with On-Line Analytical Processing(OLAP) technology, Data Mining(DM) techniques, the complex network theory and technology is presented, including related algorithm with improvement program, and some further research directions of CRM are discussed.
出处 《计算机工程》 CAS CSCD 北大核心 2010年第5期277-278,281,共3页 Computer Engineering
基金 国家自然科学基金资助重大项目(60496321) 国家自然科学基金资助项目(60373098 60573073 60503016) 国家"863"计划基金资助项目(2006AA10Z245) 吉林省科技发展计划基金资助重大项目(20020303) 吉林省科技发展计划基金资助项目(20030523) 欧盟基金资助项目"TH/AsiaLink010"(111084) 吉林大学"985工程"研究生创新基金资助项目(20080233)
关键词 客户关系管理 联机分析处理 数据挖掘 复杂网络 Customer Relationship Management(CRM) On-Line Analytical Processing(OLAP) Data Mining(DM) complex network
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参考文献19

  • 1Thearling K. Data Mine and CRM: Zeroing in on Your Best Customers[Z]. [1999-12-20]. http://www.information-management.com. 被引量:1
  • 2Peppard J. Customer Relationship Management(CRM) in Financial Services[J]. European Management Journal, 2000, 18(3): 312-327. 被引量:1
  • 3Ha S H, Bae S M, Park S C, Customer's Time-variant Purchase Behavior and Corresponding Marketing Strategies: An Online Retailer's Case[J]. Computers & Industrial Engineering, 2002, 43(4) 801-820. 被引量:1
  • 4宝利嘉.客户关系管理解决方案[M].北京:中国经济出版社,2001:5-8. 被引量:1
  • 5王涛.CRM在中国电信的应用[J].四川通信技术,2001,31(6):49-52. 被引量:2
  • 6赵宏波..电信企业客户关系管理[M],2003.
  • 7Codd E F. Providing OLAP(On-Line Analytical Processing) to User-analysts: An IT Mandate[R]. Codd and Associates, Technical Report: TR9300011, 1993. 被引量:1
  • 8Codd E F, Codd S B, Salley C T. Beyond Decision Support[N]. Computerworld, 1993-07-27. 被引量:1
  • 9Thomsen E.OLAP解决方案:创建多维信息系统[M].北京:电子工业出版社,2004. 被引量:1
  • 10Fayyad U M, Piatetsky-Shapiro G, Smyth P, et al Advances in Knowledge Discovery and Data Mining[M]. [S. l.]: AAA1 Press, 1996. 被引量:1

二级参考文献11

  • 1纳德·S·史威福特.客户关系管理--加速利润和优势提升[M].北京:中国经济出版社,2001,3.. 被引量:1
  • 2Han Jiawei,Kamber M.Data Mining:Concepts and Techniques[M].San Francisco:Morgan Kaufmann Publishers,2000. 被引量:1
  • 3Ordonez C,Omiecinski E.Efficient disk-based K-means clustering for relational databases[J].IEEE Trans.Knowledge and Data Engineering,2004,16(8):909-921. 被引量:1
  • 4Ordonez C.Clustering binery data streams with K-means[C]//ACM DKMD Workshop.San Diego,California:[s.n.],2003. 被引量:1
  • 5YAO Xin.Studies on Complex networks and its Clustering Degree[D].Beijing:Tsinghua University,2005. 被引量:1
  • 6Newman M E J.The structure and function of complex networks[J].SIAM Review,2003,45 (2):167-256. 被引量:1
  • 7Albert R,Barabosi A L.Statistical mechanics of complex networks[J].Review of Modern Physics,2002,74:47-97. 被引量:1
  • 8Strogatz S H.Exploring complex networks[J].Nature,2001,410:268-276. 被引量:1
  • 9Watts D J,Strogatz S H.Collective dynamics of 'small-word' networks[J].Nature,1998,393:440-442. 被引量:1
  • 10Lee D L,Chuang H,Seamons K.Document ranking and the vector-space model[J].IEEE Software,1997,14 (2):67 -75. 被引量:1

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引证文献11

二级引证文献30

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