Solving Data Mining Challenges in Neutrosophic Environments Using Bio-Inspired Optimization Techniques

Faculty Computer Science Year: 2025
Type of Publication: ZU Hosted Pages:
Authors:
Journal: Neutrosophic Sets and Systems University of New Mexico Volume:
Keywords : Solving Data Mining Challenges , Neutrosophic Environments    
Abstract:
This paper introduces a study about using different metaheuristic algorithms in conjunction with neutrosophic set theory for introducing more better and more accurate solutions for solving data mining challenges in different fields
    
     
 
       

Author Related Publications

    Department Related Publications

    • Ibrahiem Mahmoud Mohamed Elhenawy, "BERT-CNN: A Deep Learning Model for Detecting Emotions from Text", Tech Science Press, 2021 More
    • Ahmed Raafat Abass Mohamed Saliem, "BERT-CNN: A Deep Learning Model for Detecting Emotions from Text", Tech Science Press, 2021 More
    • Ahmed Raafat Abass Mohamed Saliem, "Using General Regression with Local Tuning for Learning Mixture Models from Incomplete Data Sets", ScienceDirect, 2010 More
    • Ahmed Raafat Abass Mohamed Saliem, "On determining efficient finite mixture models with compact and essential components for clustering data", ScienceDirect, 2013 More
    • Ahmed Raafat Abass Mohamed Saliem, "Unsupervised learning of mixture models based on swarm intelligence and neural networks with optimal completion using incomplete data", ScienceDirect, 2012 More
    Tweet