Effects of the neural network s-sigmoid function on KDD in the presence of imprecise data

DOI10.1016/J.COR.2005.01.024zbMath1113.90073OpenAlexW2018596815MaRDI QIDQ2499146

John F. Kros, Mike Lin, Marvin L. Brown

Publication date: 14 August 2006

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2005.01.024

zbMATH Keywords

neural networksdata miningimputationKDD

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (3)

Towards optimal use of incomplete classification data ⋮ Dealing with missing data based on data envelopment analysis and halo effect ⋮ Mining trauma injury data with imputed values

Cites Work

• Multiple Imputation After 18+ Years
• Models for Nonresponse in Sample Surveys
• Informative Drop-Out in Longitudinal Data Analysis
• Modeling the Drop-Out Mechanism in Repeated-Measures Studies
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Effects of the neural network s-sigmoid function on KDD in the presence of imprecise data