Rule pruning techniques in the ant-miner classification algorithm and its variants: A review
Rule-based classification is considered an important task of data classification.The ant-mining rule-based classification algorithm, inspired from the ant colony optimization algorithm, shows a comparable performance and outperforms in some application domains to the existing methods in the literat...
Saved in:
Main Authors: | Al-Behadili, Hayder Naser Khraibet, Ku-Mahamud, Ku Ruhana, Sagban, Rafid |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://repo.uum.edu.my/24425/1/SCAIE%202018%2078%2084.pdf http://repo.uum.edu.my/24425/ http://doi.org/10.1109/ISCAIE.2018.8405448 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Adaptive parameter control strategy for ant-miner
classification algorithm
by: Al-Behadili, Hayder Naser Khraibet, et al.
Published: (2020) -
Ant colony optimization algorithm for rule based classification: Issues and potential
by: Al-Behadili, Hayder Naser Khraibet, et al.
Published: (2018) -
Hybrid ant colony optimization and genetic algorithm for rule induction
by: Al-Behadili, Hayder Naser Khraibet, et al.
Published: (2020) -
Fuzzy Unordered Rule Using Greedy Hill Climbing Feature Selection Method: An Application to Diabetes Classification
by: Al-Behadili, Hayder Naser Khraibet, et al.
Published: (2021) -
An adaptive ant colony optimization algorithm for rule-based classification
by: Al-Behadili, Hayder Naser Khraibet
Published: (2020)