| 商品价格数据的两种WEB挖掘算法比较 |
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| 引用本文： | 王红艳,朱全银,严云洋,钱进.商品价格数据的两种WEB挖掘算法比较[J].微电子学与计算机,2011,28(10). |
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| 作者姓名： | 王红艳 朱全银 严云洋 钱进 |
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| 作者单位： | 淮阴工学院计算机工程学院,江苏淮安,223003 |
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| 基金项目： | 江苏省创新基金(BC2009 208); 淮安市产学研合作计划(HAC201002) |
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| 摘 要： | 其他网络商店的商品实时价格是Web商店店主所关注的重要数据,Web数据挖掘使得这一需求变为现实.通过正则表达式算法与分词算法的比较研究,给出了基于正则表达式的商品价格抽取算法和基于分词的网站目录树抽取算法、HTML网页商品抽取算法与商品价格抽取算法.应用系统的实践表明,正则表达式算法的挖全率与正确率较低,而分词算法的挖全率与正确率都达到99%以上,完全满足应用需求,同时可以为商品的市场预测与分析提供依据.
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| 关 键 词： | 商品价格 数据挖掘 正则表达式 分词 算法比较 |
Compare Two Web Mining Algorithm for Commodity Price |
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| WANG Hong-yan,ZHU Quan-yin,YAN Yun-yang,QIAN Jin.Compare Two Web Mining Algorithm for Commodity Price[J].Microelectronics & Computer,2011,28(10). |
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| Authors: | WANG Hong-yan ZHU Quan-yin YAN Yun-yang QIAN Jin |
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| Affiliation: | WANG Hong-yan,ZHU Quan-yin,YAN Yun-yang,QIAN Jin(Faculty of Computer Engineering,Huaiyin Institute of Technology,Huaian 223003,China) |
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| Abstract: | Commodities price of others e-supermarkets is the most important data for the shopkeepers of shop online.This requirement becomes actuality because of the Web mining developing very fast.The algorithm based on regular expression and the extract algorithm for directory tree of Website,commodities name on the Webpage and commodities price based on participle are described in detailed respectively.All of them depend on the researched of the regular expression and the participle algorithm.The implementation sho... |
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| Keywords: | commodity price data mining regular expression participle algorithm compare |
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