| 基于数据挖掘的SP企业后继发展策略研究 |
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| 引用本文： | 王前辉,刘绍清,钱莎莎. 基于数据挖掘的SP企业后继发展策略研究[J]. 广州大学学报(自然科学版), 2005, 4(4): 337-340 |
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| 作者姓名： | 王前辉 刘绍清 钱莎莎 |
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| 作者单位： | 福州大学管理学院,福建,福州,350002;福州职业技术学院,福建,福州,350002 |
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| 摘 要： | 运用数据挖掘技术中的关联规则，对某SP公司的业务数据进行了深入分析，得出了用户量与消费指数之间的正相关趋势，并结合实践中的经验，对公司的后继发展提出了相应对策．
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| 关 键 词： | 数据挖掘 关联规则 消费指数 电信增值业务 |
| 文章编号： | 1671-4229(2005)04-0337-04 |
| 收稿时间： | 2005-04-22 |
| 修稿时间： | 2005-04-22 |
Research on the development of SP enterprises based on data mining technology |
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| WANG Qian-hui,LIU Shao-qing,QIAN Sha-sha. Research on the development of SP enterprises based on data mining technology[J]. Journal og Guangzhou University:Natural Science Edition, 2005, 4(4): 337-340 |
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| Authors: | WANG Qian-hui LIU Shao-qing QIAN Sha-sha |
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| Abstract: | Based on the analysis of the business data of SP enterprise, this paper declares the relationship between user number and consumer indices. Combined with the working experience, this paper proposes strategies for the development of SP enterprise, which based on the GRI model of data mining technology. And this strategy has been proved to be effective in actual use. |
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| Keywords: | data mining association rules consumer indices SP |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
