Research on Extension Knowledge Mining

Zhu Ling-li; Li Wei-hua; Li Xiao-mei

doi:10.3969/j.issn.1007-7162.2012.04.002

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Research on Extension Knowledge Mining

更新时间：2026-05-27

- Research on Extension Knowledge Mining
- Vol. 29, Issue 4, Pages: 7-13(2012)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1007-7162.2012.04.002
  CLC：
- Online First：25 December 2012，
  
  Published：2012
- 稿件说明：
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朱伶俐, 李卫华, 李小妹. 客户价值可拓知识挖掘软件研究[J]. 广东工业大学学报, 2012, 29(4): 7-13.

Zhu Ling-li, Li Wei-hua, Li Xiao-mei. Research on Extension Knowledge Mining[J]. 2012, 29(4): 7-13.
朱伶俐, 李卫华, 李小妹. 客户价值可拓知识挖掘软件研究[J]. 广东工业大学学报, 2012, 29(4): 7-13. DOI： 10.3969/j.issn.1007-7162.2012.04.002.

Zhu Ling-li, Li Wei-hua, Li Xiao-mei. Research on Extension Knowledge Mining[J]. 2012, 29(4): 7-13. DOI： 10.3969/j.issn.1007-7162.2012.04.002.

摘要

针对企业如何采取可靠的差异化营销策略以实现客户价值最大化问题，提出了一种基于可拓学理论和可拓数据挖掘技术的客户价值可拓知识挖掘软件研究，描述了软件的体系结构及主要功能模块的设计原理，实现了客户价值的可拓分类知识获取.实验结果表明本软件在数据处理、建立评价体系、计算客户价值方面具备一定的通用性和灵活性

能够满足不同企业的需求.

Abstract

Aiming at the problems with enterprises’ taking different reliable marketing strategies to maximize the customer value

it researched the extension knowledge mining software for customer value

based on extenics theory and extension data-mining technology

described the software architecture and the designing principles of the main function modules

thus acquiring extension classification knowledge. The experimental results show the software has general and flexible ability concerning such aspects as data processing，the establishment of the evaluation system and calculation of the customer value

so it can satisfy different enterprises’ demands.

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