An anticrime information support system design: Application of K-means-VMD-BiGRU in the city of Chicago
Authors:
- Qing ZhuQZQing Zhu
- Fan ZhangFZFan Zhang
- Shan LiuSLShan Liu
- Yuze LiYLYuze Li
- 1 July 2022
- journal article
- Published by Elsevier in Information & Management
- Vol. 59 (5)
Abstract
No abstract availableFunding Information
- National Natural Science Foundation of China
- Education Department of Shaanxi Province
This publication has 38 references indexed in Scilit:
- Improving crime count forecasts using Twitter and taxi dataDecision Support Systems, 2018
- Isolating Target And Neighbourhood Vulnerabilities In Crime ForecastingEuropean Journal on Criminal Policy and Research, 2018
- Is Gun Violence Contagious? A Spatiotemporal TestJournal of Quantitative Criminology, 2017
- Global urbanization projections for the Shared Socioeconomic PathwaysGlobal Environmental Change, 2017
- Combined VMD-SVM based feature selection method for classification of power quality eventsApplied Soft Computing, 2016
- Violence in the United StatesJAMA, 2015
- Unsupervised extreme learning machine with representational featuresInternational Journal of Machine Learning and Cybernetics, 2015
- Detecting serial residential burglaries using clusteringExpert Systems with Applications, 2014
- Space–Time Patterns of Risk: A Cross National Assessment of Residential Burglary VictimizationJournal of Quantitative Criminology, 2007
- Silhouettes: A graphical aid to the interpretation and validation of cluster analysisJournal of Computational and Applied Mathematics, 1987