| 基于词性的文本挖掘算法在IDS日志中的应用 |
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| 引用本文： | 胡军光,刘力,车奇. 基于词性的文本挖掘算法在IDS日志中的应用[J]. 计算机与数字工程, 2010, 38(2): 90-93 |
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| 作者姓名： | 胡军光 刘力 车奇 |
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| 作者单位： | 1. 空军驻深圳地区军事代表室,深圳,518026
2. 南京航空航天大学信息科学与技术学院,南京,210016 |
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| 摘 要： | 提出一种以词性为参考值的文本挖掘算法，能有效挖掘与种子词有关的关联规则。基于Bootstrapping算法思想，既减少了预处理阶段对于词根还原的依赖，能处理日志中出现的中文词汇。增加了对于日志文本上下的理解，提高了关联规则的有效性，并应用与IDS日志挖掘之中，有效改善挖掘效率，为规则库提供关联规则。
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| 关 键 词： | 词性 ICTCLAS Bootstrapping 入侵检测系统 数据挖掘 |
A Text Mining Algorithm Based on Part of Speech Used in IDS Logs |
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| Hu Junguang Liu Li Che Qi. A Text Mining Algorithm Based on Part of Speech Used in IDS Logs[J]. Computer and Digital Engineering, 2010, 38(2): 90-93 |
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| Authors: | Hu Junguang Liu Li Che Qi |
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| Affiliation: | Military Deputation of Air Force in Shenzhen1;College of Information Science and Technology/a>;Nanjing University of Aeronautics and Astronautics2 |
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| Abstract: | We made a text mining algorithm using part of speech(POS) as its argument,which can effectively mine the seed-related rules.Based on the idea of Bootstrapping algorithm,it can reduce the dependence of root-restoring on the pre-processing stage,process Chinese vocabulary appear in the log,increase the understanding of context,enhance the effectiveness of rule-relating.When applied in IDS log mining,it will significantly improve the mining efficiency and provide rule library with rules. |
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| Keywords: | part of speech ICTCLAS Bootstrapping IDS data mining |
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