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Comparison of decision tree and naïve Bayes algorithms in detecting trace residue of gasoline based on gas chromatography-mass spectrometry data

Gezani Bin Md Ghazi Loong Chuen Lee Aznor S.Samsudin Hukil Sino

法庭科学研究（英文）2023，Vol.8Issue(3)：249-255,7.
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法庭科学研究（英文）2023，Vol.8Issue(3)：249-255,7.DOI:10.1093/fsr/owad031

Comparison of decision tree and naïve Bayes algorithms in detecting trace residue of gasoline based on gas chromatography-mass spectrometry data

Comparison of decision tree and naïve Bayes algorithms in detecting trace residue of gasoline based on gas chromatography-mass spectrometry data

Gezani Bin Md Ghazi 1Loong Chuen Lee 2Aznor S.Samsudin 3Hukil Sino4

作者信息

  • 1. Forensic Science Program,CODTIS,Faculty of Health Science,Universiti Kebangsaan Malaysia,Selangor,Malaysia||Fire Investigation Division,Fire and Rescue Department of Malaysia,Putrajaya,Malaysia
  • 2. Forensic Science Program,CODTIS,Faculty of Health Science,Universiti Kebangsaan Malaysia,Selangor,Malaysia||Institute of IR 4.0,Universiti Kebangsaan Malaysia,Selangor,Malaysia
  • 3. Fire Investigation Laboratory,Fire Investigation Division,Fire and Rescue Department of Selangor,Selangor,Malaysia
  • 4. Forensic Science Program,CODTIS,Faculty of Health Science,Universiti Kebangsaan Malaysia,Selangor,Malaysia
  • 折叠

摘要

关键词

forensic sciences/gas chromatography-mass spectrometry/forensic fire debris analysis/naïve Bayes classifier/classification and regression tree/principal component analysis

Key words

forensic sciences/gas chromatography-mass spectrometry/forensic fire debris analysis/naïve Bayes classifier/classification and regression tree/principal component analysis

引用本文复制引用

Gezani Bin Md Ghazi,Loong Chuen Lee,Aznor S.Samsudin,Hukil Sino..Comparison of decision tree and naïve Bayes algorithms in detecting trace residue of gasoline based on gas chromatography-mass spectrometry data[J].法庭科学研究（英文）,2023,8(3):249-255,7.

基金项目

This study received funding from the CRIM,Universiti Kebangsaan Malaysia through Geran Galakan Penyelidik Muda[grant number:GGPM-2021-028]. （）

法庭科学研究（英文）

OACSCD

2096-1790

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