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

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 Component Analysis (PCA) for dimens...

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Bibliographic Details
Main Authors: Mohamed Chaouch, Omama M. Al-Hamed
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Big data applications
classification algorithms
dimensionality reduction
kernel methods
machine learning
nonparametric statistics
Online Access:https://ieeexplore.ieee.org/document/11091306/
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