反恐情报分析中的数据预处理研究

发布时间：2018-03-16 02:18

本文选题：反恐　切入点：数据挖掘　出处：《情报科学》2017年11期 　论文类型：期刊论文

【摘要】：【目的/意义】近年来,世界各地的暴恐活动呈现出破坏性大、影响范围广、计划性强、手段多样等特点,这也决定了打击恐怖主义要把反恐预警工作作为重中之重。利用数据挖掘技术进行涉恐情报分析,发现涉恐线索是实现反恐预警的有效手段之一。数据预处理是使用各种数据挖掘方法的前提和基础。【方法/过程】本文将系统研究数据预处理在涉恐情报量化分析中的应用。主要讨论数据清洗、数据集成、数据离散化以及数据二元化等预处理方法在涉恐信息处理时应该重点注意的问题。文中所有涉恐数据特征均从媒体公开报道中获取。【结果/结论】本文讨论的预处理方法可以为展开涉恐情报数据挖掘消除数据缺陷,提供标准化的基础数据,为挖掘结果分析和可视化展现打下良好基础,有利于反恐预警的实现。
[Abstract]:[purpose / significance] in recent years, violent and terrorist activities in various parts of the world have shown the characteristics of large destruction, wide range of influence, strong planning, various means, etc. This also determines that counter-terrorism early warning should be a top priority in the fight against terrorism. The use of data mining technology for terrorist intelligence analysis, Finding clues about terrorism is one of the effective means to realize the early warning of terrorism. Data preprocessing is the premise and foundation of using various data mining methods. In this paper, a systematic study of data preprocessing in quantification of terrorist intelligence is presented. Application in analysis. Data cleaning is discussed. Data integration, The preprocessing methods such as data discretization and data dualization should be paid attention to when dealing with the information about terrorism. All the features of the data in this paper are obtained from the public reports in the media. [results / conclusions] the previews discussed in this paper. Processing methods can eliminate data defects for developing terrorist intelligence data mining, Provide standardized basic data and lay a good foundation for mining results analysis and visualization, which is conducive to the realization of anti-terrorism early warning.
【作者单位】：中国人民公安大学侦查与反恐怖学院;北京联合大学智慧城市学院;
【基金】：2017年度教育部人文社会科学研究青年基金项目(17YJCZH098) 国家社科基金重大项目(15ZDA034);国家社科基金项目(14BZZ028)
【分类号】：G353.1;TP311.13

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