SemiSupervised Learning for Class Association Rule Mining Using Genetic Network Programming
Author:
Affiliation:
1. Graduate School of Sciences and Technology for Innovation, Yamaguchi University Tokiwadai 2‐16‐1, Ube, Yamaguchi 755‐8611 Japan
Publisher
Wiley
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/tee.23109
Reference18 articles.
1. Association Rule Mining
2. An Association Rule-Based Method to Support Medical Image Diagnosis With Efficiency
3. Data mining techniques and applications – A decade review from 2000 to 2011
4. Semi-Supervised Learning
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