Big Data Analytics and Mining for Effective Visualization and Trends Forecasting of Crime Data

doi:10.1109/access.2019.2930410

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	Big Data Analytics and Mining for Effective Visualization and Trends Forecasting of Crime Data
	M.C.Feng; J.B.Zheng; J.C.Ren; A.Hussain; X.X.Li; Y.Xi; Q.Y.Liu
	2019
发表期刊	Ieee Access
ISSN	2169-3536
卷号	7 页码:106111-106123
摘要	Big data analytics (BDA) is a systematic approach for analyzing and identifying different patterns, relations, and trends within a large volume of data. In this paper, we apply BDA to criminal data where exploratory data analysis is conducted for visualization and trends prediction. Several the state-of-the-art data mining and deep learning techniques are used. Following statistical analysis and visualization, some interesting facts and patterns are discovered from criminal data in San Francisco, Chicago, and Philadelphia. The predictive results show that the Prophet model and Keras stateful LSTM perform better than neural network models, where the optimal size of the training data is found to be three years. These promising outcomes will benefit for police departments and law enforcement organizations to better understand crime issues and provide insights that will enable them to track activities, predict the likelihood of incidents, effectively deploy resources and optimize the decision making process.
关键词	Big data analytics (BDA),data mining,data visualization,neural,network,time series forecasting,saliency detection
DOI	10.1109/access.2019.2930410
URL	查看原文
收录类别	SCI ; EI
语种	英语
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/63394
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	M.C.Feng,J.B.Zheng,J.C.Ren,et al. Big Data Analytics and Mining for Effective Visualization and Trends Forecasting of Crime Data[J]. Ieee Access,2019,7:106111-106123.
APA	M.C.Feng.,J.B.Zheng.,J.C.Ren.,A.Hussain.,X.X.Li.,...&Q.Y.Liu.(2019).Big Data Analytics and Mining for Effective Visualization and Trends Forecasting of Crime Data.Ieee Access,7,106111-106123.
MLA	M.C.Feng,et al."Big Data Analytics and Mining for Effective Visualization and Trends Forecasting of Crime Data".Ieee Access 7(2019):106111-106123.

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