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文本挖掘的起源
文本挖掘的过程
特征建立
特征集缩减
知识模式提取
模型评价
国内外研究状况
-Text Mining Text Mining the origin of the process of establishing reduced feature set of knowledge extraction model to evaluate the model at home and abroad Research
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基于小波包特征提取的车牌字符识别，是一片期刊论文，还不错的，可以学习-Feature extraction based on wavelet packet license plate character recognition is a journal articles, but also good, you can learn
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关键词:文本分类 特征降维 规则抽取 模式聚合 粗糙集
-Keywords: text classification feature dimension reduction rule extraction model aggregation rough set
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基于纹理分析笔迹鉴别系统的设计与实现,文中从笔迹图像预处理、特征提取、分类器以及分类器组合等方而展开研究，设计和实现了一个基于文本独立的离线手写体笔迹鉴别系统软件.-Design and Implementation of the writer identification system based on texture analysis, the paper from the handwriting image preprocessing, feature extraction, classi
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文本分类中特征提取的代码。采用信息增益法，对文本的空间向量模型能达到有效降维。文件的输入形式必须是词号-词频形式。-
Text Categorization feature extraction code. Using information gain method, the vector space model of the text to achieve effective dimensionality reduction. Enter the file must be in the f
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