3 papers
cs.CR2026
Multi-Level Distributional Entropy for Explainable Network Intrusion Detection
Mohamed Aly Bouke, Md Shohel Sayeed, Swee-Huay Heng +2
Machine learning network intrusion detection systems (IDS) rely on aggregate flow statistics that discard distributional structure, while established entropy measures require raw p…
cs.LG2024
Machine Learning for Missing Value Imputation
Abu Fuad Ahmad, Khaznah Alshammari, Istiaque Ahmed +1
In recent times, a considerable number of research studies have been carried out to address the issue of Missing Value Imputation (MVI). MVI aims to provide a primary solution for…
cs.LG2024
Impact of Missing Values in Machine Learning: A Comprehensive Analysis
Abu Fuad Ahmad, Md Shohel Sayeed, Khaznah Alshammari +1
Machine learning (ML) has become a ubiquitous tool across various domains of data mining and big data analysis. The efficacy of ML models depends heavily on high-quality datasets,…