| 基于关联分类的中文短信分类 |
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| 引用本文： | 蔡永泉, 晋月培, 葛安生, 赵凯. 基于关联分类的中文短信分类[J]. 北京工业大学学报, 2015, 41(7): 1020-1027. DOI: 10.11936/bjutxb2014120046 |
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| 作者姓名： | 蔡永泉 晋月培 葛安生 赵凯 |
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| 作者单位： | 北京工业大学 计算机学院,北京,100124;联想集团有限公司 联想研究院,北京,100084 |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 为高效地识别垃圾短信,在关联分类算法基础上,提出基于语序的关联分类(associative classification based on word order,ACW)算法.该算法利用关联规则挖掘方法,同时结合句法顺序,生成分类规则.通过实验证明,在短信分类领域,ACW算法的效果优于传统关联分类算法.
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| 关 键 词： | 关联分类 句法顺序 垃圾短信识别 |
| 收稿时间： | 2014-12-22 |
Associative Classification Algorithm Applied to the Classification of Chinese SMS |
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| CAI Yong-quan, JIN Yue-pei, GE An-sheng, ZHAO Kai. Associative Classification Algorithm Applied to the Classification of Chinese SMS[J]. Journal of Beijing University of Technology, 2015, 41(7): 1020-1027. DOI: 10.11936/bjutxb2014120046 |
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| Authors: | CAI Yong-quan JIN Yue-pei GE An-sheng ZHAO Kai |
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| Abstract: | The short messaging service ( SMS) spam was effectively recognized based on the associative classification algorithm, and an algorithm called ACW was proposed. The algorithm generated ordered classification rules with association rules mining method by using the semantic order words. In the experiments, that ACW is better than the traditional associative classification algorithm in the territory of classification of SMS is demonstrated in this paper. |
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| Keywords: | associative classification word order SMS spam recognition |
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