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摘要:
There has been evidence of crime in the US since colonization. In this article, we analyze the crime statistics of San Francisco and its resolution of crime recorded from January to September of the year 2018. We define resolution of crime as a target variable and study its relationship with other variables. We make several classification models to predict resolution of crime using several data mining techniques and suggest the best model for predicting resolution.
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篇名 Analysis of the Resolution of Crime Using Predictive Modeling
来源期刊 统计学期刊(英文) 学科 经济
关键词 Machine Learning Classification Model Comparison Predictive Modeling Resolution of Crime
年,卷(期) 2020,(3) 所属期刊栏目
研究方向 页码范围 600-610
页数 11页 分类号 F42
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研究主题发展历程
节点文献
Machine
Learning
Classification
Model
Comparison
Predictive
Modeling
Resolution
of
Crime
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研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
统计学期刊(英文)
半月刊
2161-718X
武汉市江夏区汤逊湖北路38号光谷总部空间
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584
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0
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