| 基于数据挖掘技术的股票市场预测分析实例研究 |
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| 引用本文： | 邓南沙,苏文.基于数据挖掘技术的股票市场预测分析实例研究[J].科技与企业,2012(18):272-274. |
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| 作者姓名： | 邓南沙 苏文 |
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| 作者单位： | 1. 国家知识产权局专利局专利审查协作北京中心 北京 100088
2. 中国科学院大学 北京 100864 |
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| 摘 要： | 本文主要研究数据挖掘技术在股票市场价格预测中的应用,重点采用数据挖掘分类和聚类算法对大盘走势和个股走势进行分析研究,采用实体数据进行挖掘分析,总结得出有益于投资者的结论。
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| 关 键 词： | 数据挖掘 股票预测 分类算法 聚类算法 |
The case study of the price prediction in stock market based on data mining |
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| Suwen.The case study of the price prediction in stock market based on data mining[J].Science-Technology Enterprise,2012(18):272-274. |
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| Authors: | Suwen |
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| Institution: | Suwen 1 Dengnansha 2(1.Chinese academy of science,Beijing,100864;2.Patent examination cooperation center of the patent office,SIPO,Beijing100088) |
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| Abstract: | This paper studied the price prediction in stock market based on Data mining(DM),and paid more attention to analyzing classification and clustering algorithm on the prediction model.Simulations and comparisons were made on actual data.Finally,some guidelines for investors were outlined. |
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| Keywords: | DM stock prediction Classification Clustering |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
