| 基于投影聚类算法的Web文本挖掘证券投资系统 |
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| 引用本文： | 袁赟,张英杰.基于投影聚类算法的Web文本挖掘证券投资系统[J].邵阳学院学报(自然科学版),2009,6(4):61-65. |
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| 作者姓名： | 袁赟 张英杰 |
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| 作者单位： | 1. 湖南大学,计算机与通信学院,湖南,长沙,410082;邵阳学院,信息工程学院,湖南,邵阳,422000
2. 湖南大学,计算机与通信学院,湖南,长沙,410082 |
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| 摘 要： | 随着信息爆炸时代的到来，如何有效的从网络上获取有价值的信息成为当前研究的热点．Web文本挖掘技术就是解决上述问题的一种方法，它从大量半结构化、异构的Web文档集中发现潜在的、有价值的知识．本文着力于研究Web文本挖掘过程中的重要技术，并通过分析当前研究热点和各种算法，提出一种改进的投影聚类算法，实验证明其正确率比k-均值算法高．最后，本文设计了基于Web文本挖掘的证券投资系统，并将改进的聚类算法应用其中．
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| 关 键 词： | Web文本挖掘 数据挖掘 文本聚类 证券投资 |
Web Text Mining Securities Investment System Based on Projection Clustering Algorithm |
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| Yuan Yun,Zhang Ying-jie.Web Text Mining Securities Investment System Based on Projection Clustering Algorithm[J].Journal of Shaoyang University:Science and Technology,2009,6(4):61-65. |
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| Authors: | Yuan Yun Zhang Ying-jie |
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| Institution: | 1. College of Computer and Communication, Hunan Univ., Changsha, Hunan, 410082 ; 2.Information Engineering Department,Shaoyang Univ. ,Shaoyang,Hunan 422000 ) |
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| Abstract: | With the ecming of the information exploring era, quickly and accurately obtaining what users need on WWW is getting more and more difficult. Web text mining technology is one way to address these problems. Web Text Mining technology collects potential and valuable knowledge from a large number of semi-structured, heterogeneous set of Web documents. This paper focused on the imporlant technology of Web Text Mining process. By analyzing the current research focus and a variety of algorithm, we proposed an improved clustering algorithm which performs better than k-mean algorithm, in the end, we applied this method to the web mining system for securities investment. |
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| Keywords: | web text mining data mining text clustering securities investment |
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