| Personalized Metaheuristic Clustering Onto Web Documents |
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| 引用本文： | WookeyLee. Personalized Metaheuristic Clustering Onto Web Documents[J]. 潍坊学院学报, 2004, 4(4): 1-4 |
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| 作者姓名： | WookeyLee |
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| 作者单位： | DivisionofComputerEngineering,SurlgkTulUniversity#147-2,Anyang-8Dong,ManarlguAnyangKyunggi-Do,RepublicofKorea |
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| 摘 要： | Optimal clustering for the web documents is known to complicated combinatorial Optimization problem and it is hard to develop a generally applicable oplimal algorithm. An accelerated simuIated arlneaIing aIgorithm is developed for automatic web document classification. The web document classification problem is addressed as the problem of best describing a match between a web query and a hypothesized web object. The normalized term frequency and inverse document frequency coetficient is used as a measure of the match. Test beds are generated on - line during the search by transforming model web sites. As a result,web sites can be clustered optimally in terms of keyword vectors of corresponding web documents.
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| 关 键 词： | 网络信息资源 信息组织 聚类分析 分类法 |
Personalized Metaheuristic Clustering Onto Web Documents |
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| Wookey Lee. Personalized Metaheuristic Clustering Onto Web Documents[J]. Journal of Weifang University, 2004, 4(4): 1-4 |
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| Authors: | Wookey Lee |
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| Abstract: | Optimal clustering for the web documents is known to complicated combinatorial Optimization problem and it is hard to develop a generally applicable oplimal algorithm. An accelerated simulated arl-neaIing algorithm is developed for automatic web document classification. The web document classification problem is addressed as the problem of best describing a match between a web query and a hypothesized web object. The normalized term frequency and inverse document frequency coefficient is used as a measure of the match. Test beds are generated on - line during the search by transforming model web sites. As a result, web sites can be clustered optimally in terms of keyword vectofs of corresponding web documents. |
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| Keywords: | Metaheuristic Simulated Annealing Web Clustering Combinatorial Optimization Visualization |
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