Hyper-heuristic framework for sequential semi-supervised classification based on core clustering

Existing stream data learning models with limited labeling have many limitations, most importantly, algorithms that suffer from a limited capability to adapt to the evolving nature of data, which is called concept drift. Hence, the algorithm must overcome the problem of dynamic update in the interna...

Full description

Bibliographic Details

Main Authors:	Adnan, Ahmed, Muhammed, Abdullah, Abd Ghani, Abdul Azim, Abdullah, Azizol, Huyop @ Ayop, Fahrul Hakim
Format:	Article
Language:	en
Published:	Multidisciplinary Digital Publishing Institute 2020
Online Access:	http://psasir.upm.edu.my/id/eprint/89236/1/HYPER.pdf http://psasir.upm.edu.my/id/eprint/89236/ https://www.mdpi.com/2073-8994/12/8/1292
Tags:	Add Tag No Tags, Be the first to tag this record!