解读自制炸药的复杂性:从344个中国案例样本上挖掘协会规则的法医见解
Zhenwen Sun1, Jun Zhu1, Puzheng Qiao2
1Department of Micro Traces Evidence Examination, Institute of Forensic Science, Beijing, China.
Science & justice : journal of the Forensic Science Society
|September 10, 2025
概括
这项研究使用数据挖掘来分析中国的自制爆炸物 (HME). 协会规则挖矿发现了常见的HME配方和法医签名,有助于刑事调查.
科学领域:
- 法医科学 法医科学 法医科学
- 数据挖掘 数据挖掘
- 化学 化学 化学
背景情况:
- 自制炸药 (HMEs) 由于其不同组成和构造,给法医带来了重大挑战.
- 识别HME起源对于将犯罪现场的证据联系起来至关重要.
研究的目的:
- 通过数据挖掘,加强对HME的法医分析.
- 揭示HME化学概况中的隐藏模式,以改善病例联系.
主要方法:
- 分析了来自中国 (129例) 的344个HME样本 (2015-2022年).
- 根据功能角色对样品进行分类 (主要负荷,发起者,前体).
- 协会规则采矿 (ARM) 对化学配置文件的应用.
主要成果:
- 在中国,ARM揭示了常见的HME"配方"和经常同时出现的组件.
- 识别了新的法医签名,用于链接HME病例.
- 从部分样本中建议可能的成分和制造方法.
结论:
- 这一全面的分析为中国的HME使用提供了有价值的见解.
- ARM增强了法医能力,用于识别HME来源和链接案件.
- 调查结果可以帮助国际打击涉及HME的恐怖主义努力.
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