Acceso abierto

A long command subsequence algorithm for manufacturing industry recommendation systems with similarity connection technology

Siyu Huang

Siyu Huang

  • School of Mathematics and Computer Science, Quanzhou Normal UniversityQuanzhou, China
  • Fujian Provincial Key Laboratory of Data Intensive ComputingQuanzhou, China
  • Key Laboratory of Intelligent Computing and Information Processing, Fujian Province UniversityQuanzhou, China
Buscar este autor en
Sciendo|Google Scholar
Huang, Siyu
, 
Xueyan Huang

Xueyan Huang

School of Educational Science, Quanzhou Normal UniversityQuanzhou, China
Buscar este autor en
Sciendo|Google Scholar
Huang, Xueyan
, 
Taisheng Zeng

Taisheng Zeng

  • School of Mathematics and Computer Science, Quanzhou Normal UniversityQuanzhou, China
  • Fujian Provincial Key Laboratory of Data Intensive ComputingQuanzhou, China
  • Key Laboratory of Intelligent Computing and Information Processing, Fujian Province UniversityQuanzhou, China
Buscar este autor en
Sciendo|Google Scholar
Zeng, Taisheng
, 
Danlin Cai

Danlin Cai

  • School of Mathematics and Computer Science, Quanzhou Normal UniversityQuanzhou, China
  • Fujian Provincial Key Laboratory of Data Intensive ComputingQuanzhou, China
  • Key Laboratory of Intelligent Computing and Information Processing, Fujian Province UniversityQuanzhou, China
Buscar este autor en
Sciendo|Google Scholar
Cai, Danlin
 y 
Daxin Zhu

Daxin Zhu

  • School of Mathematics and Computer Science, Quanzhou Normal UniversityQuanzhou, China
  • Fujian Provincial Key Laboratory of Data Intensive ComputingQuanzhou, China
  • Key Laboratory of Intelligent Computing and Information Processing, Fujian Province UniversityQuanzhou, China
Buscar este autor en
Sciendo|Google Scholar
Zhu, Daxin
  
30 sept 2022
A long command subsequence algorithm for manufacturing industry recommendation systems with similarity connection technology's Cover Image
Acerca de este artículo
Artículo anterior
Artículo siguiente
Cite
Descargar portada
Publicado en línea: 30 sept 2022
Páginas: 789 - 798
Recibido: 20 may 2022
Aceptado: 16 ago 2022
DOI: https://doi.org/10.2478/amns.2021.2.00232
Palabras clave
© 2023 Siyu Huang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Data dimension reduction and filtering
Data dimension reduction and filtering

Fig. 2

Precision of BMR, BFR, TBRR and LSCR
Precision of BMR, BFR, TBRR and LSCR

Fig. 3

Recall of BMR, BFR, TBRR and LSCR
Recall of BMR, BFR, TBRR and LSCR

Fig. 4

F1-MEASURE of BMR, BFR, TBRR and LSCR
F1-MEASURE of BMR, BFR, TBRR and LSCR

Fig. 5

MAE of BMR, BFR, TBRR and LSCR. MAE, mean average error
MAE of BMR, BFR, TBRR and LSCR. MAE, mean average error
Idioma:
Inglés
Calendario de la edición:
1 veces al año
Temas de la revista:
Ciencias de la vida, Ciencias de la vida, otros, Matemáticas, Matemáticas aplicadas, Matemáticas generales, Física, Física, otros
RSS Feed de revista