| 遗传算法在Web关联挖掘中的应用研究 |
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| 引用本文： | 汤亚玲,崔志明.遗传算法在Web关联挖掘中的应用研究[J].微电子学与计算机,2005,22(10):4-6,11. |
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| 作者姓名： | 汤亚玲 崔志明 |
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| 作者单位： | [1]安徽工业大学计算机学院,安徽马鞍山243002 [2]苏州人学智能信息处理及应用研究所,江苏苏州215006 |
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| 摘 要： | 关联规则是捕述Web用户行为特征的重要依据。传统的基于统计学的Web关联规则挖掘算法注重对现有数据的分析，不能针对Web关联挖掘的特点提供有效的预测手段和优化反馈措施。本文提出一种基于遗传算法的Web关联挖掘算法体系，实验证明它能。弥补传统Web关联挖掘算法的不足，为Web关联挖掘提供了一种新的思路。
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| 关 键 词： | 数据挖掘 Web关联规则 遗传算法 增量挖掘 机器学习 |
| 文章编号： | 1000-7080（2005）10-004-03 |
| 收稿时间： | 2005-03-14 |
| 修稿时间： | 2005-03-14 |
Research on Application of Genetic Algorithm in Web Association Rules Mining |
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| TANG Ya-ling, CUI Zhi-ming.Research on Application of Genetic Algorithm in Web Association Rules Mining[J].Microelectronics & Computer,2005,22(10):4-6,11. |
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| Authors: | TANG Ya-ling CUI Zhi-ming |
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| Affiliation: | 1 School of Computer, AnHui University of Technology, Maanshan 243002 China;2 Suzhou Univ, Institute of Intelligence Information Processing and Application, Suzhou 215006 China |
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| Abstract: | Association rules are import basis of describing Web users' behavior characteristic. Traditional algorithms of Web associaion rules mining, based on statistics, pays attention to to the analysis on providing data, they can't offer effective predictive means and optimizing measure of feedback. This paper present a kind of system of the Web association rules mining based on genetic algorithm, whicn proves by experiment that it can mend the traditional Web association mining algorithm, and it gives out a new idea for Web association rules mining. |
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| Keywords: | Data Mining Web Association Rules Genetic Algorithm Increment Mining Machine Learning |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
