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Hazard Grading Model of Terrorist Attack Based on Machine Learning Cover
By: ,  ,   and    
Open Access
|Oct 2019

Figures & Tables

TABLE I.

THE SELECTED FIELD TABLE

FieldDescription
extendedWhether it is a continuous event
latitudelatitude
longitudelongitude
successSuccessful attack
suicideSuicide attack
nkillTotal number of deaths
propextentDegree of property damage
nwoundTotal number of injuries
countrycountry
regionarea
citycity
attacktypeAttack type
targtypeTarget/victim type
weapontypeWeapon type
TABLE II.

THE STATE AND CITY ASSIGNMENT

Indexassignment
developed countries2
underdeveloped countries1
the capital3
the provincial capital2
other cities1
TABLE III.

CHARACTERISTIC VALUES CORRESPONDING TO THE INDICATORS

IndicatorsCharacteristic values
nkill9.82022087e-01
nwound8.06184462e-02
targtype7.91122120e-03
country5.20872985e-02
attacktype4.84991077e-03
region4.01240379e-02
suicide2.66626688e+00
city2.60031933e-02
longitude1.84972981e+02
extended1.63936354e+03
latitude1.36725606e+03
propextent1.06560032e-01
success1.04574700e+02
weapontype0.00000001e+00
TABLE IV.

CLUSTERING CENTER FOR EVENT CLASSIFICATION

typeX1X2X3X4numbers
02.4843-16.3826-1.34640.308163122
1-3.396822.8297-3.87820.061537848
2825.778873.69728.9316-104.592
313.8411-127.79419.7789-2.72813500
4-9.598563.389816.7324-1.23829711
TABLE V.

WEIGHT COEFFICIENTS OF EACH INDICATOR

indicatorx1x2x3x4x5x6x7
Weight 0.250.010.260.150.170.080.01
indicatorx8x9x10x11x12x13x14
Weight 0.010.010.010.010.010.010.01
TABLE VI.

HAZARD GRADING RESULT

Hazard levelCluster categoryHazard level
121766.7104
233.2596
300.6239
44-2.6904
51-0.8788
Language: English
Page range: 81 - 85
Published on: Oct 8, 2019
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2019 Jun Yu, Tong Xian, Zhiyi Hu, Yutong Liu, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.