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...

Full description

Saved in:

Bibliographic Details
Main Author:	Mohamed Chaouch (17983846) (author)
Other Authors:	Omama M. Al-Hamed (18021667) (author)
Published:	2025
Subjects:	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
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

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

Similar Items