| 基于改进后的K-means聚类算法的网吧用户行为聚类 |
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| 引用本文： | 叶良艳.基于改进后的K-means聚类算法的网吧用户行为聚类[J].安徽科技学院学报,2009,23(4):27-30. |
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| 作者姓名： | 叶良艳 |
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| 作者单位： | 合肥工业大学,计算机与信息学院,安徽,合肥,230009;安徽电子信息职业技术学院,安徽,蚌埠,233030 |
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| 摘 要： | 介绍了web日志挖掘概念,利用改进后k-means聚类算法对网吧web日志挖掘,对网吧用户行为聚类分析,找出用户的偏爱,以便网吧管理员更好定制网吧网络管理策略.
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| 关 键 词： | Web日志挖掘 聚类 K-means |
Clustering User Behavior of Internet Cafes Based on Improved K-means Clustering Algorithm |
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| YE Liang-yan.Clustering User Behavior of Internet Cafes Based on Improved K-means Clustering Algorithm[J].Journal of Anhui Science and Technology University,2009,23(4):27-30. |
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| Authors: | YE Liang-yan |
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| Institution: | YE Liang-yan1,2(1.College of Computer Science , Information,Hefei University of Technology,Hefei 233009,China,2.Anhui Vocational College of Electronics & Information Technology,Bengbu 233010,China) |
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| Abstract: | The paper introduces the concept of Web Log Mining and the application of the improved k-means clustering algorithm analysis of Internet cafes to discover some customer's groups with varied character,So that the Internet cafe network administrators manage better. |
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| Keywords: | K-means |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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