Creating classification rules using grammatical evolution
by Ioannis G. Tsoulos
International Journal of Computational Intelligence Studies (IJCISTUDIES), Vol. 9, No. 1/2, 2020

Abstract: A genetic programming based method is introduced for data classification. The fundamental element of the method is the well-known technique of Grammatical Evolution. The method constructs classification programs in a C - like programming language in order to classify the input data, producing simple if-else rules. The paper introduces the method as well as the conducted experiments on a series of datasets against other well known classification methods.

Online publication date: Thu, 09-Apr-2020

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Intelligence Studies (IJCISTUDIES):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com