Research Article

WOA-Miner: Classification Rule Discovery Using Whale Optimization Algorithm

Volume: 40 Number: 1 March 22, 2019
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WOA-Miner: Classification Rule Discovery Using Whale Optimization Algorithm

Abstract

This paper proposes a rule discovery tool for classification by using whale optimization algorithm that simulates the foraging behavior of humpback whales. Rule extraction is based on the optimization of randomly selected attributes according to rule fitness value. Algorithm were implemented and tested the most known 13 datasets and the results were compared with other known data mining algorithms including Decision Tree, Naïve Bayes, J48, JRip, Artificial Bee Colony and Ant Colony Optimization. The obtained results showed that whale optimization algorithm proved an appropriate candidate for classification processes.

Keywords

References

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Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Publication Date

March 22, 2019

Submission Date

February 4, 2019

Acceptance Date

February 18, 2019

Published in Issue

Year 2019 Volume: 40 Number: 1

APA
Çelik, U. (2019). WOA-Miner: Classification Rule Discovery Using Whale Optimization Algorithm. Cumhuriyet Science Journal, 40(1), 186-196. https://doi.org/10.17776/csj.522039

Cited By

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