| 基于区域—频道访问度的民意热点信息挖掘算法 |
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| 引用本文： | 孟令达,周 喜.基于区域—频道访问度的民意热点信息挖掘算法[J].计算机应用研究,2013,30(7):1939-1941. |
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| 作者姓名： | 孟令达 周 喜 |
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| 作者单位： | 1. 中国科学院新疆理化技术研究所, 乌鲁木齐 830011; 2. 中国科学院大学, 北京 100049 |
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| 基金项目： | 中国科学院“西部之光”人才培养计划资助项目（XBBS201018） |
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| 摘 要： | 为了有效地从电子政务网站的Web日志中挖掘民众关注的热点信息, 提出基于区域—频道访问度的民意热点信息挖掘算法——PHIMA算法。该算法在分析目前Web日志挖掘算法存在的问题的基础上, 利用提出的区域—频道访问度概念设计Web访问矩阵, 并基于该矩阵结合区域—频道访问度和灰关联分析法提出。实验表明算法能有效地挖掘民意热点信息, 可用于电子政务网站站点优化、个性化服务和为决策者提供决策支持等。
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| 关 键 词： | 民意热点信息 区域—频道访问度 电子政务 Web使用挖掘 关联分析 |
Public hotspot information mining algorithm based on area-channel |
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| MENG Ling-d,ZHOU Xi.Public hotspot information mining algorithm based on area-channel[J].Application Research of Computers,2013,30(7):1939-1941. |
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| Authors: | MENG Ling-d ZHOU Xi |
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| Affiliation: | 1. Xinjiang Technical Institute of Physics & Chemistry, Chinese Acedemy of Sciences, Urumqi 830011, China; 2. University of Chinese Academy of Sciences, Beijing 100049, China |
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| Abstract: | This paper proposed a Web log mining algorithm named PHIMA(public hotspot information mining algorithm), which based on area-channel to mine public hotspot information accurately and efficiently. On the analysis of the applicability of present Web log mining algorithms on e-government Web log mining, the algorithm used area-channel for mining public hotspot information. According to the conception, this paper proposed a user access matrix based preferred public hotspot information mining algorithm. PHIMA was proved accurate and scalable in the experiments. It's suitable for application in e-government, such as to optimize Web site or to provide decision support for policy-makers. |
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| Keywords: | public hotspot information area-channel e-government Web usage mining association analysis |
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