Influence of Attribute Granulation on Three-Way Concept Lattices DOI Creative Commons
Jun Long, Yinan Li, Yang Zhan

et al.

Big Data Mining and Analytics, Journal Year: 2024, Volume and Issue: 7(3), P. 655 - 667

Published: Aug. 28, 2024

Language: Английский

A Review and Analysis of the Characteristics of Cyber-physical Systems in Industry 4.0 DOI
Yasamin Eslami, Chiara Franciosi, Sahand Ashouri

et al.

SN Computer Science, Journal Year: 2023, Volume and Issue: 4(6)

Published: Oct. 28, 2023

Language: Английский

Citations

2
Degradation trend evaluation for smart meters under high dry heat natural environments DOI
Jun Ma, Zhaosheng Teng, Qiu Tang

et al.

Measurement, Journal Year: 2023, Volume and Issue: 220, P. 113410 - 113410

Published: Aug. 7, 2023

Language: Английский

Citations

1
Revisiting data reduction for boolean matrix factorization algorithms based on formal concept analysis DOI

Lanzhen Yang,

Eric C.C. Tsang, Hua Mao

et al.

International Journal of Machine Learning and Cybernetics, Journal Year: 2024, Volume and Issue: unknown

Published: June 11, 2024

Language: Английский

Citations

0
Extended Representation Learning Based Neural Network Model for Outlier Detection DOI

Sidratul Muntaha,

Sohana Jahan,

Md. Anwarul Islam Bhuiyan

et al.

Journal of Artificial Intelligence Machine Learning and Neural Network, Journal Year: 2024, Volume and Issue: 46, P. 12 - 26

Published: Oct. 1, 2024

Outlier detection problems have drawn much attention in recent times for their variety of applications. An outlier is a data point that different from the rest and can be detected based on some measure. In years, Artificial Neural Networks (ANN) been used extensively finding outliers more efficiently. This method highly competitive with other methods currently use such as similarity searches, density-based approaches, clustering, distance-based linear methods, etc. this paper, we proposed an extended representation learning neural network. model follows symmetric structure like autoencoder where dimensions are initially increased original then reduced. Root mean square error to compute score. Reconstructed calculated analyzed detect possible outliers. The experimental findings documented by applying it two distinct datasets. performance compared several state-of-art approaches Rand Net, Hawkins, LOF, HiCS, Spectral. Numerical results show outperforms all these terms 5 validation scores, Accuracy (AC), Precision (P), Recall, F1 Score, AUC

Language: Английский

Citations

0
Influence of Attribute Granulation on Three-Way Concept Lattices DOI Creative Commons
Jun Long, Yinan Li, Yang Zhan

et al.

Big Data Mining and Analytics, Journal Year: 2024, Volume and Issue: 7(3), P. 655 - 667

Published: Aug. 28, 2024

Language: Английский

Citations

0