Prediction of crime tendency of high-risk personnel using C5.0 decision tree empowered by particle swarm optimization

DOI10.3934/MBE.2019206OpenAlexW2946665188WikidataQ93200369 ScholiaQ93200369MaRDI QIDQ2160767

Ren Han, Chunxue Wu, Fang Yang, Yan Wu

Publication date: 3 August 2022

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2019206

zbMATH Keywords

big dataparticle swarm optimizationK-fold cross-validationC5.0high-risk personnel

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Soft sensor design based on phase partition ensemble of LSSVR models for nonlinear batch processes ⋮ A multi-sample particle swarm optimization algorithm based on electric field force

This page was built for publication: Prediction of crime tendency of high-risk personnel using C5.0 decision tree empowered by particle swarm optimization