Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk

Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk

<p dir="ltr">This paper introduces novel nonparametric supervised learning techniques for classifying massive datasets, addressing key limitations of existing methods in Big and Streaming Data framework. We propose an offline kernel-based classifier enhanced by Batch Principal Compon...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Mohamed Chaouch (17983846) (author)
مؤلفون آخرون: Omama M. Al-Hamed (18021667) (author)
منشور في: 2025
الموضوعات:
Biomedical and clinical sciences
Reproductive medicine
Health sciences
Health services and systems
Information and computing sciences
Data management and data science
Machine learning
Big data applications
classification algorithms
dimensionality reduction
kernel methods
machine learning
nonparametric statistics
recursive estimation
principal component analysis
stochastic approximation algorithms
supervised learning
Vectors
Principal component analysis
Posterior probability
Covariance matrices
Accuracy
Random forests
Probability distribution
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