预防客户流失的可拓转化策略研究

doi:10.3969/j.issn.1007-7162.2012.03.003

广东工业大学学报 ›› 2012, Vol. 29 ›› Issue (3): 18-22.doi: 10.3969/j.issn.1007-7162.2012.03.003

预防客户流失的可拓转化策略研究

李兴森¹, 朱正祥², 刘艳彬¹

1. 浙江大学宁波理工学院，浙江宁波 315100； 2. 国防大学信息作战与指挥训练教研部，北京 100091

收稿日期:2012-05-11 出版日期:2012-09-20 发布日期:2012-09-20
作者简介:李兴森（1969-），男，教授，博士，主要研究方向为可拓创新方法.
基金资助:
国家自然科学基金资助项目（70871111）；宁波市科技局工业领域重大科技攻关项目（2010B10024）

Research on the Extension Transformation Strategy for Customer Retention

Li Xingsen¹， Zhu Zhengxiang²， Liu Yanbin¹

1. Ningbo Institute of Technology, Zhejiang University, Ningbo 315100, China；
2. Dept. of Information Operation and Command Training, NDU of PLA, Beijing 100091, China

Received:2012-05-11 Online:2012-09-20 Published:2012-09-20

摘要/Abstract

摘要： 有效的策略获取是决策科学研究的重要内容，可拓策略生成方法作为解决矛盾问题的重要方法，是可拓工程研究的重点之一.随着信息技术的发展，从数据中通过挖掘获取策略成为一条新的路径.在分析现有分类方法的基础上，提出了一种基于决策树分类规则的可拓策略获取方法，该方法利用可拓集合和可拓变换理论，对决策树规则进行二次挖掘和可拓变换，从中获取“不行变行，不是变是”的策略，为制定预防客户流失的转化措施提供有针对性的决策参考.实践证明，该方法可操作性强，对其它的可拓策略获取方法的研究也具有参考价值.

关键词: 可拓变换；转化策略；决策树；规则挖掘；客户保留

Abstract: Strategy generation is the key factor for scientific decisionmaking; extension strategy generation is an important method of settling conflicts in extension engineering. While analyzing the decision tree classification, it presents an acquisition method of extension strategy. It remines and transforms the decision tree rules from “can’t to can, not to yes” strategy, based on the extension set and extension transformation theory. The strategy applies simple and intuitive decisionmaking to the retention of the customer. Its application in a web company has proved that this method is highly feasible, and also has the reference value for the research on other methods based on extension.

Key words: extension transformation; transformation strategy; decision tree; rules mining; customer retention

李兴森, 朱正祥, 刘艳彬. 预防客户流失的可拓转化策略研究[J]. 广东工业大学学报, 2012, 29(3): 18-22.

Li Xingsen， Zhu Zhengxiang， Liu Yanbin. Research on the Extension Transformation Strategy for Customer Retention[J]. Journal of Guangdong University of Technology, 2012, 29(3): 18-22.

参考文献

［1］蔡文，杨春燕，何斌.可拓逻辑初步［M］.北京：科学出版社,2003.

［2］杨春燕，蔡文. 可拓工程［M］. 北京: 科学出版社,2007.

［3］ Han J,Micheline K. Data Mining: Concepts and Techniques［M］. 2ndedition. Morgan Kaufmann, 2006. 

［4］ Olson D, Shi Y. Introduction to business data mining［M］. USA:McGrawHill(International edition),2007.

［5］ Yang Chunyan, Li Xingsen, Cai Wen, et al. Formalized research on incompatibility problems in marketing［C］. Proceedings of 2007 International Conference On Management Science & Engineering (14th),2007:1171-1177.

［6］ Zhang Zhiwang, Shi Yong, Gao Guangxia. A rough setbased multiple criteria linear programming approach for the medical diagnosis and prognosis［J］. An International Journal of Expert Systems With Applications：Elsevier Science,2009,36(5)：8932-8937. 

［7］ Nie G L, Zhang L L, Li X S,et al. The analysis on the customers churn of charge email based on data mining［C］.Sixth IEEE International Conference on Data MiningWorkshops:ICDMW06. China Hong Kong, 2006:843-847.

〖HJ2.1mm〗［8］〖WB〗李立希，李铧汶，杨春燕.可拓学在数据挖掘中的应用初探［J］.中国工程科学，2004,6(7):5359. 

Li Lixi, Li Huawen, Yang Chunyan. Study on the application of extenics in data mining［J］. Engineering Science, 2004,6(7):53-59.

［9］陈文伟，杨春燕，黄金才.可拓知识与可拓知识推理［J］. 哈尔滨工业大学学报，2006,38(7):1094-1096.

〖DW〗Chen Wenwei, Yang Chunyan, Huang Jincai. Research on extension knowledge and extension knowledge reasoning［J］. Journal of Harbin Institute of Technology,2006,38(7):10941096.

［10］〖ZK(#〗〖WB〗张应利，何斌.基于物元可拓性的潜信息挖掘［J］. 数学的实践与认识，2001,31(5):569-575.

Zhang Yingli, He Bin. Potential information mining based on matterelement extensibility［J］. Mathematics in Practice and Theory,2001,31(5):569-575.

［11］李兴森，石勇，李爱华，基于可拓集的企业数据挖掘应用方案初探［J］. 哈尔滨工业大学学报，2006,38(7):1124-1128.

Li Xingsen，Shi Yong，Li Aihua. Application study on enterprise data mining solution based on extension set［J］. Journal of Harbin Institute of Technology,2006,38(7):1124-1128.

［12］李兴森，石勇，鹿盟，等.低质量数据下的知识获取方案研究［J］. 当代经济管理,2007(3):78-83.

〖DW〗Li Xingsen, Shi Yong, Lu Meng,et al. Knowledge acquisition under the lowquality data［J］.Contemporary Economy & Management,2007(3):78-83.

［13］黄金才，陈文伟. 可拓数据挖掘的概念与理论［J］.计算机工程与应用，2006,42(14):7-8.

Huang Jincai, Chen Wenwei, The conception and theory of extension data mining［J］.Computer Engineering and Applications，2006,42(14):7-8.

［14］蔡文,杨春燕,陈文伟,等.可拓集与可拓数据挖掘［M］. 北京：科学出版社，2008,6. 

［15］杨春燕，李小妹，陈文伟,等.可拓数据挖掘方法及其计算机实现［M］. 广州：广东高等教育出版社，2010,8.

［16］ Li Xingsen, Xiang Zhongbiao, Zhang Haolan, et al. A novel method for extension transformation knowledge discovering［C］.H.Wang et al Eds. APWeb 2012 workshops, LNCS, 2012，7234:43-50.

［17］李兴森. 智能知识及其管理模式研究［D］.北京：中国科学院研究生院博士论文，2008.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

预防客户流失的可拓转化策略研究

Research on the Extension Transformation Strategy for Customer Retention

HTML

PDF (PC)

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 0

Metrics

本文评价

推荐阅读 0