A Semi-Supervised Learning Approach to Quality-Based Web Service Classification

A Semi-Supervised Learning Approach to Quality-Based Web Service Classification

The Internet provides a platform for sharing services, and web service brokers help users to choose the suitable service among similar services based on ranking. The quality of service is important in evaluating the services the user needs. However, finding a quality-based data label in many fields...

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Bibliographic Details
Main Authors: Mehdi Nozad Bonab, Jafar Tanha, Mohammad Masdari
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Classification
machine learning
quality
semi-supervised learning
web services
Online Access:https://ieeexplore.ieee.org/document/10491237/

Internet

https://ieeexplore.ieee.org/document/10491237/

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