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

Wu, Chun Xue; Yang, Fang; Wu, Yan; Han, Ren

Wu, Chun Xue; Yang, Fang; Wu, Yan; Han, Ren.

Afiliación

Wu CX; School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Yang F; School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Wu Y; The School of Public and Environmental Affairs, Indiana University, Bloomington, USA.
Han R; School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.

Math Biosci Eng ; 16(5): 4135-4150, 2019 05 13.

Article en En | MEDLINE | ID: mdl-31499655

Palabras clave

C5.0; K-fold cross-validation; big data; high-risk personnel; particle swarm optimization

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Math Biosci Eng Año: 2019 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

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