| 一种改进的朴素贝叶斯分类器在文本分类中的应用研究 |
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| 引用本文： | 张璇,左敏.一种改进的朴素贝叶斯分类器在文本分类中的应用研究[J].北京轻工业学院学报,2009(4):52-55. |
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| 作者姓名： | 张璇 左敏 |
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| 作者单位： | 北京工商大学计算机与信息工程学院,北京100048 |
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| 基金项目： | 国家自然科学基金资助项目（60773112）. |
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| 摘 要： | 文本分类是数据挖掘领域中重要的研究分支.通过对自适应遗传算法和朴素贝叶斯分类器的研究,提出一种基于自适应遗传算法的朴素贝叶斯分类算法.将该算法应用于中文文本分类中,可以生成最优贝叶斯分类器及最优属性集合,提高分类精度.
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| 关 键 词： | 朴素贝叶斯分类器 遗传算法 文本分类 |
RESEARCH ON AN IMPROVED NAIVE BAYESIAN CLASSIFIER USED IN CHINESE TEXT CATEGORIZATION |
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| ZHANG Xuan,ZUO Min.RESEARCH ON AN IMPROVED NAIVE BAYESIAN CLASSIFIER USED IN CHINESE TEXT CATEGORIZATION[J].Journal of Beijing Institute of Light Industry,2009(4):52-55. |
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| Authors: | ZHANG Xuan ZUO Min |
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| Affiliation: | (College of Computer Science and Information Engineering, Beijing Technology and Business University, Beijing 100048, China) |
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| Abstract: | Text categorization is an important research branch in the data mining domain. An improved naive bayesian classifier based on the genetic algorithms was proposed. It can make an effective naive bayesian classifier with excellent attributes sets in the field of text categorization. |
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| Keywords: | naive bayesian classifier genetic algorithms text categorization |
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