层次聚类与蚁群优化算法在目录搜索引擎中的应用
首发时间:2006-03-29
摘要:本文针对目前目录式搜索引擎中存在的问题,提出采用数据挖掘中的层次聚类方法,同时利用特征提取,将网页文档分成嵌套目录。对于新增加到数据库中的信息,利用蚁群优化算法动态将其分配到对应的类目下。结合关键字搜索方式,在分好类别中的页面上进行关键字搜索,必将会极大提高搜索的质量。
关键词: 目录式搜索引擎 web挖掘 层次聚类 蚁群优化算法 特征提取
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Catalogue Search Engine Base On Level Clustering And Optimization Algorithms Of Ant
Abstract:In view of the current catalogue search engine problems and suggested that using level of clustering methods of data mining and use of feature extraction, web files into the nest of directories. For new information add to the database, using optimization algorithms of ant will send its share of the corresponding categories. Combine key search methods, catalogue search engine will greatly improve the quality.
Keywords: catalogue search engine web mining Level clustering optimization algorithms of ant feature extraction
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